UWAGA! Przed rozpoczęciem pracy zaktualizuj zgodnie z obecnym stanem bazy listę książek na dysku za poprzedni rocznik. Przed rozpoczęciem pracy wyszukaj frazy “bezpiecznik” i “aktualizacja”.
#biblioteki
options(java.parameters = "-Xmx32000m")Było 50 lub więcej ostrzeżeń (użyj 'warnings()' aby zobaczyć pierwsze 50)options(scipen = 999)
pacman::p_load(utf8,googlesheets4,zoo,stringr,splitstackshape,plyr,dplyr,sqldf,stringdist,fuzzyjoin,data.table,svMisc,tidyverse,RJDBC,arrangements,tokenizers,openxlsx)
`%notin%` <- Negate(`%in%`)
#połączenie z bazą PBL
jdbcDriver =JDBC("oracle.jdbc.OracleDriver",classPath="C:/Users/Cezary/Downloads/ojdbc6.jar")
PBL <- dbConnect(jdbcDriver, "jdbc:oracle:thin:@//pbl.ibl.poznan.pl:1521/xe", "IBL_SELECT", "CR333444")
#wgranie zbiorów książek
#aktualizacja - dopisać dodatkowe warunki (pobrać z tabelkizacji marca)
bn_ks <- read.csv2("C:/Users/Cezary/Downloads/bn_ks_2009.csv", encoding = "UTF-8", header = TRUE, stringsAsFactors = FALSE) %>%
filter(!grepl("\\\\$aArtykuły|\\\\$Druki ulotne",X380)) %>%
filter(!grepl("\\$aNadbitki i odbitki",X655)) %>%
filter(grepl("Książki",X380,ignore.case = FALSE)|X380=="") %>%
filter(grepl("\\$aWA|\\$aW ",X040)) %>%
filter(X655!="\\7$aKomiks$2DBN") %>%
mutate(rok = str_sub(X008,8,11),
X245 = str_replace_all(X245," \\/ \\$c"," /$c"),
BN_URL = paste("https://katalogi.bn.org.pl/discovery/fulldisplay?docid=alma",as.character(X009),"&context=L&vid=48OMNIS_NLOP:48OMNIS_NLOP&lang=pl",sep = ""),
BN_URL = str_replace(BN_URL,"88&","66&"))
### przenieść kolejnych autorów z 700 do pola 100
marc_field_700 <- bn_ks %>%
select(id,X700)%>%
filter(X700!="") %>%
mutate(X700=str_replace_all(X700,"(^|\\|)","~\\1")) %>%
cSplit(.,"X700",sep = "~",direction = "long") %>%
filter(X700!="") %>%
mutate(X700=str_remove_all(X700,"^\\|")) %>%
mutate(indicator = str_replace_all(X700,"(^.*?)(\\$.*)","\\1"))
subfield_list<- str_extract_all(bn_ks$X700,"\\$.")
subfield_list<- unique(unlist(subfield_list))
empty_table<- data.frame(matrix(ncol = length(subfield_list),nrow = lengths(marc_field_700)[1]))
colnames(empty_table) <-subfield_list
marc_field_700<-cbind(marc_field_700,empty_table)
subfield_list_char <- paste("(",subfield_list,")",sep = "")
subfield_list_char <- str_replace_all(subfield_list_char,"\\$","\\\\$")
x <- 1:length(subfield_list)
for (i in x) {
progress(match(i,x), max.value = length(x))
marc_field_700$X700 <- str_replace(marc_field_700$X700,subfield_list_char[i],"|\\1")
}Progress: 1 on 12 Progress: 2 on 12 Progress: 3 on 12 Progress: 4 on 12 Progress: 5 on 12 Progress: 6 on 12 Progress: 7 on 12 Progress: 8 on 12 Progress: 9 on 12 Progress: 10 on 12 Progress: 11 on 12 Progress: 12 on 12 for (i in x) {
progress(match(i,x), max.value = length(x))
subfield_list_char2 <- str_replace_all(subfield_list,"\\$","\\\\$")
string_a <- "(^)(.*?\\|"
string_b <- subfield_list_char2[i]
string_c <- ")(.*?)(\\,{0,1})((\\|\\$)(.*)|$)"
string <- paste(string_a,string_b,string_c,sep = "")
marc_field_700[,i+3] <- ifelse(grepl(subfield_list_char2[i],marc_field_700$X700),str_replace_all(gsub(string,"\\3",marc_field_700$X700),"\\${2}.", "~"),NA)
}Progress: 1 on 12 Progress: 2 on 12 Progress: 3 on 12 Progress: 4 on 12 Progress: 5 on 12 Progress: 6 on 12 Progress: 7 on 12 Progress: 8 on 12 Progress: 9 on 12 Progress: 10 on 12 Progress: 11 on 12 Progress: 12 on 12 marc_field_700 <- marc_field_700 %>%
filter(is.na(`$e`)&is.na(`$t`)) %>%
select(id, X700) %>%
mutate(drugi_autor = str_remove_all(X700,"\\|")) %>%
select(id,drugi_autor)
drugi_autor <- bn_ks %>%
full_join(.,marc_field_700,by = "id") %>%
select(id,X100,X700,drugi_autor) %>%
group_by(id) %>%
mutate(X100 = ifelse(!is.na(drugi_autor),str_remove(paste(X100,paste(drugi_autor,collapse = "|"),sep = "|"),"^\\|"),as.character(X100)),
drugi_autor = list(drugi_autor)) %>%
ungroup() %>%
unique()
x <- 1:length(drugi_autor$id)
for (i in x) {
progress(match(i,x), max.value = length(x))
y <- 1:lengths(drugi_autor$drugi_autor[i])
for (j in y) {
drugi_autor$X700[i] <- ifelse(is.na(drugi_autor$drugi_autor[i]),as.character(drugi_autor$X700[i]),
ifelse(grepl(str_replace_all(str_replace_all(str_replace_all(str_replace_all(drugi_autor$drugi_autor[i][[1]][j],"\\\\","\\\\\\\\"),"\\$","\\\\$"),"\\(","\\\\("),"\\)","\\\\)"),drugi_autor$X700[i]),str_remove(drugi_autor$X700[i],str_replace_all(str_replace_all(str_replace_all(str_replace_all(drugi_autor$drugi_autor[i][[1]][j],"\\\\","\\\\\\\\"),"\\$","\\\\$"),"\\(","\\\\("),"\\)","\\\\)")),as.character(drugi_autor$X700[i])))
}
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Progress: 4.101e+04 on 41017 Progress: 4.101e+04 on 41017 Progress: 4.101e+04 on 41017 Progress: 4.101e+04 on 41017 Progress: 4.101e+04 on 41017 Progress: 4.101e+04 on 41017 Progress: 4.101e+04 on 41017 Progress: 4.101e+04 on 41017 Progress: 4.102e+04 on 41017 Progress: 4.102e+04 on 41017 Progress: 4.102e+04 on 41017 drugi_autor <- drugi_autor %>%
mutate(X700 = str_replace_all(X700,"(\\|)+","|"),
X700 = str_remove(X700,"\\||$"),
X700 = ifelse(X700=="|","",as.character(X700))) %>%
select(id,X100,X700)
bn_ks <- bn_ks %>%
mutate(X100 = drugi_autor$X100,
X700 = drugi_autor$X700)
##koniec przenosintworca_i_dzial <- dbGetQuery(PBL,
"select tw.tw_tworca_id \"pbl_id\", dz.dz_dzial_id||'|'||dz.dz_nazwa \"osoba_pbl_dzial_id_name\"
from pbl_tworcy tw
full join pbl_dzialy dz on dz.dz_dzial_id=tw.tw_dz_dzial_id")
#listy nazwisk BN ze zbioru
#100
marc_field_100 <- bn_ks %>%
select(id,X100)%>%
filter(X100!="") %>%
mutate(X100=str_replace_all(X100,"(^|\\|)","~\\1")) %>%
cSplit(.,"X100",sep = "~",direction = "long") %>%
filter(X100!="") %>%
mutate(X100=str_remove_all(X100,"^\\|")) %>%
mutate(indicator = str_replace_all(X100,"(^.*?)(\\$.*)","\\1"))
subfield_list<- str_extract_all(bn_ks$X100,"\\$.")
subfield_list<- unique(unlist(subfield_list))
empty_table<- data.frame(matrix(ncol = length(subfield_list),nrow = lengths(marc_field_100)[1]))
colnames(empty_table) <-subfield_list
marc_field_100<-cbind(marc_field_100,empty_table)
subfield_list_char <- paste("(",subfield_list,")",sep = "")
subfield_list_char <- str_replace_all(subfield_list_char,"\\$","\\\\$")
x <- 1:length(subfield_list)
for (i in x) {
progress(match(i,x), max.value = length(x))
marc_field_100$X100 <- str_replace(marc_field_100$X100,subfield_list_char[i],"|\\1")
}
Progress: 1 on 7 Progress: 2 on 7 Progress: 3 on 7 Progress: 4 on 7 Progress: 5 on 7 Progress: 6 on 7 Progress: 7 on 7 for (i in x) {
progress(match(i,x), max.value = length(x))
subfield_list_char2 <- str_replace_all(subfield_list,"\\$","\\\\$")
string_a <- "(^)(.*?\\|"
string_b <- subfield_list_char2[i]
string_c <- ")(.*?)(\\,{0,1})((\\|\\$)(.*)|$)"
string <- paste(string_a,string_b,string_c,sep = "")
marc_field_100[,i+3] <- ifelse(grepl(subfield_list_char2[i],marc_field_100$X100),str_replace_all(gsub(string,"\\3",marc_field_100$X100),"\\${2}.", "~"),NA)
}Progress: 1 on 7 Progress: 2 on 7 Progress: 3 on 7 Progress: 4 on 7 Progress: 5 on 7 Progress: 6 on 7 Progress: 7 on 7 marc_field_100 <- marc_field_100 %>%
select(id,`$a`,`$d`,`$c`) %>%
mutate(name = ifelse(!is.na(`$c`)&substr(`$c`,nchar(`$c`),nchar(`$c`))==";",paste(`$a`,`$c`,`$d`,sep = " "),ifelse(!is.na(`$d`),paste(`$a`,`$d`,sep = " "),as.character(`$a`)))) %>%
select(id,name) %>%
mutate(name = str_replace(name,"(\\))(\\.$)","\\1"),
name = str_replace(name, "([a-zaáàâãäăāåąæeéèêëěēėęiíìîïīįioóòôõöőøœuúùûüűūůyýcćčçdďđđgģğkķlłļnńñňņŋrřsśšşsßtťŧþţzżźž])(\\.$)","\\1"))
osoba_bn_100_pbl <- marc_field_100 %>%
unique() %>%
inner_join(.,pbl_viaf,by = c("name" = "BN_name")) %>%
select(1:3) %>%
left_join(.,tworca_i_dzial,by = "pbl_id") %>%
select(id,osoba_pbl_dzial_id_name) %>%
group_by(id) %>%
mutate(osoba_bn_autor = paste(unique(osoba_pbl_dzial_id_name),collapse = "~")) %>%
select(-osoba_pbl_dzial_id_name) %>%
ungroup() %>%
unique()Column `name`/`BN_name` joining character vector and factor, coercing into character vector#600
marc_field_600 <- bn_ks %>%
select(id,X600)%>%
filter(X600!="") %>%
mutate(X600=str_replace_all(X600,"(^|\\|)","~\\1")) %>%
cSplit(.,"X600",sep = "~",direction = "long") %>%
filter(X600!="") %>%
mutate(X600=str_remove_all(X600,"^\\|")) %>%
mutate(indicator = str_replace_all(X600,"(^.*?)(\\$.*)","\\1"))
subfield_list<- str_extract_all(bn_ks$X600,"\\$.")
subfield_list<- unique(unlist(subfield_list))
empty_table<- data.frame(matrix(ncol = length(subfield_list),nrow = lengths(marc_field_600)[1]))
colnames(empty_table) <-subfield_list
marc_field_600<-cbind(marc_field_600,empty_table)
subfield_list_char <- paste("(",subfield_list,")",sep = "")
subfield_list_char <- str_replace_all(subfield_list_char,"\\$","\\\\$")
x <- 1:length(subfield_list)
for (i in x) {
progress(match(i,x), max.value = length(x))
marc_field_600$X600 <- str_replace(marc_field_600$X600,subfield_list_char[i],"|\\1")
}Progress: 1 on 15 Progress: 2 on 15 Progress: 3 on 15 Progress: 4 on 15 Progress: 5 on 15 Progress: 6 on 15 Progress: 7 on 15 Progress: 8 on 15 Progress: 9 on 15 Progress: 10 on 15 Progress: 11 on 15 Progress: 12 on 15 Progress: 13 on 15 Progress: 14 on 15 Progress: 15 on 15 for (i in x) {
progress(match(i,x), max.value = length(x))
subfield_list_char2 <- str_replace_all(subfield_list,"\\$","\\\\$")
string_a <- "(^)(.*?\\|"
string_b <- subfield_list_char2[i]
string_c <- ")(.*?)(\\,{0,1})((\\|\\$)(.*)|$)"
string <- paste(string_a,string_b,string_c,sep = "")
marc_field_600[,i+3] <- ifelse(grepl(subfield_list_char2[i],marc_field_600$X600),str_replace_all(gsub(string,"\\3",marc_field_600$X600),"\\${2}.", "~"),NA)
}Progress: 1 on 15 Progress: 2 on 15 Progress: 3 on 15 Progress: 4 on 15 Progress: 5 on 15 Progress: 6 on 15 Progress: 7 on 15 Progress: 8 on 15 Progress: 9 on 15 Progress: 10 on 15 Progress: 11 on 15 Progress: 12 on 15 Progress: 13 on 15 Progress: 14 on 15 Progress: 15 on 15 marc_field_600 <- marc_field_600 %>%
select(id,`$a`,`$d`,`$c`) %>%
mutate(name = ifelse(!is.na(`$c`)&substr(`$c`,nchar(`$c`),nchar(`$c`))==";",paste(`$a`,`$c`,`$d`,sep = " "),ifelse(!is.na(`$d`),paste(`$a`,`$d`,sep = " "),as.character(`$a`)))) %>%
select(id,name) %>%
mutate(name = str_replace(name,"(\\))(\\.$)","\\1"),
name = str_replace(name, "([a-zaáàâãäăāåąæeéèêëěēėęiíìîïīįioóòôõöőøœuúùûüűūůyýcćčçdďđđgģğkķlłļnńñňņŋrřsśšşsßtťŧþţzżźž])(\\.$)","\\1"))
osoba_bn_600_pbl <- marc_field_600 %>%
unique() %>%
inner_join(.,pbl_viaf,by = c("name" = "BN_name")) %>%
select(1:3) %>%
left_join(.,tworca_i_dzial,by = "pbl_id") %>%
select(id,osoba_pbl_dzial_id_name) %>%
group_by(id) %>%
mutate(osoba_bn_temat = paste(unique(osoba_pbl_dzial_id_name),collapse = "~")) %>%
select(-osoba_pbl_dzial_id_name) %>%
ungroup() %>%
unique()Column `name`/`BN_name` joining character vector and factor, coercing into character vector##700
#marc_field_700 <- bn_ks %>%
# select(id,X700)%>%
# filter(X700!="") %>%
# mutate(X700=str_replace_all(X700,"(^|\\|)","~\\1")) %>%
# cSplit(.,"X700",sep = "~",direction = "long") %>%
# filter(X700!="") %>%
# mutate(X700=str_remove_all(X700,"^\\|")) %>%
# mutate(indicator = str_replace_all(X700,"(^.*?)(\\$.*)","\\1"))
#subfield_list<- str_extract_all(bn_ks$X700,"\\$.")
#subfield_list<- unique(unlist(subfield_list))
#empty_table<- data.frame(matrix(ncol = length(subfield_list),nrow = lengths(marc_field_700)[1]))
#colnames(empty_table) <-subfield_list
#marc_field_700<-cbind(marc_field_700,empty_table)
#subfield_list_char <- paste("(",subfield_list,")",sep = "")
#subfield_list_char <- str_replace_all(subfield_list_char,"\\$","\\\\$")
#x <- 1:length(subfield_list)
#
#for (i in x) {
# progress(match(i,x), max.value = length(x))
# marc_field_700$X700 <- str_replace(marc_field_700$X700,subfield_list_char[i],"|\\1")
#}
#for (i in x) {
# progress(match(i,x), max.value = length(x))
# subfield_list_char2 <- str_replace_all(subfield_list,"\\$","\\\\$")
# string_a <- "(^)(.*?\\|"
# string_b <- subfield_list_char2[i]
# string_c <- ")(.*?)(\\,{0,1})((\\|\\$)(.*)|$)"
# string <- paste(string_a,string_b,string_c,sep = "")
# marc_field_700[,i+3] <- ifelse(grepl(subfield_list_char2[i],marc_field_700$X700),str_replace_all(gsub(string,"\\3",marc_field_700$X700),"\\${2}.", "~"),NA)
#}
#marc_field_700 <- marc_field_700 %>%
# select(id,`$a`,`$d`,`$c`) %>%
# mutate(name = ifelse(!is.na(`$c`)&substr(`$c`,nchar(`$c`),nchar(`$c`))==";",paste(`$a`,`$c`,`$d`,sep = " "),ifelse(!is.na(`$d`),paste(`$a`,`$d`,sep = " "),as.character(`$a`)))) %>%
# select(id,name) %>%
# mutate(name = str_replace(name,"(\\))(\\.$)","\\1"),
# name = str_replace(name, "([a-zaáàâãäăāåąæeéèêëěēėęiíìîïīįioóòôõöőøœuúùûüűūůyýcćčçdďđđgģğkķlłļnńñňņŋrřsśšşsßtťŧþţzżźž])(\\.$)","\\1"))
###sprawdzić czy nie ma zdublowanego mapowania BN->PBL (czy np. jedna osoba z BN nie zasila kilku twórców PBL)
bn_ks <- bn_ks %>%
full_join(.,osoba_bn_100_pbl,by = "id") %>%
full_join(.,osoba_bn_600_pbl,by = "id")
#bezpiecznik!
#sprawdzić
#jeśli obiekt bezpiecznik będzie miał jakiekolwiek wiersze, to oznacza, że w pliku "mapowanie_osob_bn_pbl" jest wiersz z twórcą, którego nie ma w bazie lub jego identyfikator jest błędny
#jeśli obiekt bezpiecznik jest pusty - to wszystko okej
# sprawdz czy id tworcy z ktorejs tabeli na dysku istnieje w bazie oracle, jesli nie, wklej id tworcy z oracla do tabeli. Następnie usuń kolumny osoba_bn_autor i osoba_bn_temat i uruchom chunk ponownie
bezpiecznik <- bn_ks %>%
filter(osoba_bn_autor=="NA")#wskazanie interesujących PBL dziedzin wiedzy po UKD i określenie typu UKD
bn_ks <- bn_ks %>%
mutate(dziedzina_PBL = ifelse(str_detect(X080,"(?<=\\$a|:|\\[|\\+|\\()(82)"),"ukd_lit",
ifelse(str_detect(X080,"(?<=\\$a|:|\\[|\\+)(791)")|str_detect(X080,"(?<=\\$a|:)(792)")|str_detect(X080,"\\$a7\\.09"),"ukd_tfrtv",
ifelse(str_detect(X080,"(?<=\\$a01)(\\(|\\/|2|4|5|9)")|str_detect(X080,"(?<=\\$a|\\[])(050)")|str_detect(X080,"(?<=\\$a|:|\\[|\\+|\\()(811\\.162)"),"ukd_biblio",
ifelse(str_detect(X080,"\\$a002")|str_detect(X080,"(?<=\\$a|:)(305)")|str_detect(X080,"(?<=\\$a39|:39)(\\(438\\)|8\\.2)")|str_detect(X080,"(?<=\\$a|:)(929[^\\.]051)")|str_detect(X080,"(?<=\\$a|:)(929[^\\.]052)"),"ukd_pogranicze","bez_ukd_PBL")))))
#ograniczenie rekordów z ukd językowym
biblio <- bn_ks %>%
select(id, X008, X009, X015, X041, X044, X080, X100, X245, X246, X250, X260, X300, X380, X386, X490, X500, X501, X546, X600, X650, X655, X700, X710, X800, X830, rok, BN_URL, osoba_bn_autor, osoba_bn_temat, dziedzina_PBL) %>%
filter(dziedzina_PBL=="ukd_biblio")
dobre_biblio <- biblio %>%
filter(!grepl("Podręczniki dla dzieci|Podręczniki dla szkół podstawowych",X655),
!grepl("szkoły podstawowe|rozmówki|nauczanie|logopedia",X650,ignore.case = TRUE),
!grepl("811\\.162\\.1\\(075\\.2\\)|811\\.162\\'24\\(078\\)",X080),
!grepl("ćwiczenia i zadania|poradniki dla nauczycieli|słownik.*?\\-polski|słownik polsko\\-|Słowniki dla dzieci",X655,ignore.case = TRUE),
!(grepl("Podręczniki",X655)&grepl("Kształcenie nauczycieli",X650)))
dobre_biblio2 <- biblio %>%
filter(!(is.na(osoba_bn_autor)&is.na(osoba_bn_temat)))
dobre_biblio <- dobre_biblio %>%
bind_rows(dobre_biblio2 %>% filter(id %notin% dobre_biblio$id))
zle_biblio <- biblio %>%
filter(id %notin% dobre_biblio$id)
bn_ks$dziedzina_PBL[bn_ks$id %in% zle_biblio$id] <- NA
#wskazanie interesujących PBL rekordów bez UKD, które są w kluczu PBL
bez_ukd_ale_PBL <- bn_ks %>%
select(id, X080, X650, X655, osoba_bn_autor, osoba_bn_temat, dziedzina_PBL) %>%
filter(dziedzina_PBL == "bez_ukd_PBL"&X080==""&is.na(osoba_bn_autor)&is.na(osoba_bn_temat)) %>%
mutate(bez_ukd_ale_PBL = grepl("literat|literac|pisar|bajk|dramat|epigramat|esej|felieton|film|komedi|nowel|opowiadani|pamiętnik|poemiks|poezj|powieść|proza|reportaż|satyr|wspomnieni|Scenariusze zajęć|Podręczniki dla gimnazjów|teatr|Nagrod|aforyzm|baśń|baśnie|polonijn|dialogi|fantastyka naukowa|legend|pieśń|poemat|przypowieś|honoris causa|filologi|kino polskie|pieśni|interpretacj",X650, ignore.case = TRUE)|grepl("literat|literac|pisar|bajk|dramat|epigramat|esej|felieton|film|komedi|nowel|opowiadani|pamiętnik|poemiks|poezj|powieść|proza|reportaż|satyr|wspomnieni|Scenariusze zajęć|Podręczniki dla gimnazjów|teatr|Nagrod|aforyzm|baśń|baśnie|polonijn|dialogi|fantastyka naukowa|legend|pieśń|poemat|przypowieś|honoris causa|filologi|kino polskie|pieśni|interpretacj",X655,ignore.case = TRUE)) %>%
filter(bez_ukd_ale_PBL == TRUE) %>%
select(id) %>%
mutate(bez_ukd_ale_PBL = "tak")
bn_ks <- bn_ks %>%
full_join(.,bez_ukd_ale_PBL,by = "id")
#Biblia
biblia <- bn_ks %>%
filter(grepl("biblia", X630, ignore.case = TRUE),
grepl("analiza i interpretacja|edycja krytyczna|materiały konferencyjne", X655, ignore.case = TRUE)) %>%
select(id) %>%
mutate(czy_biblia = "tak")
bn_ks <- bn_ks %>%
full_join(biblia,by = "id")
#wspomnienia,pamiętniki,literatura podróżnicza,reportaż
wspomnienia <- bn_ks %>%
mutate(czy_wspomnienia_reportaz = ifelse(str_detect(X655,"Pamiętniki i wspomnienia")|str_detect(X655,"Literatura podróżnicza")|str_detect(X655,"Pamiętniki")|str_detect(X655,"Reportaż")|str_detect(X655,"Relacja z podróży"),"tak",NA)) %>%
select(id,czy_wspomnienia_reportaz) %>%
unique()
bn_ks <- bn_ks %>%
full_join(.,wspomnienia,by = "id")
#słowa literackie w polu 245
rekordy_slowa <- sqldf("select *
from bn_ks a
where LOWER(a.X245) like ('%'||'pisar'||'%')
or LOWER(a.X245) like ('%'||'literat'||'%')
or LOWER(a.X245) like ('%'||'literac'||'%')
or LOWER(a.X245) like ('%'||'teatr'||'%')
or LOWER(a.X245) like ('%'||'film'||'%')
or LOWER(a.X245) like ('%'||'dramat'||'%')
or LOWER(a.X245) like ('%'||'interpretacj'||'%')") %>%
select(id) %>%
mutate(slowa_literackie = "tak") %>%
unique()
bn_ks <- bn_ks %>%
full_join(.,rekordy_slowa,by = "id")
bn_ok <- bn_ks %>%
filter(!((is.na(osoba_bn_autor)&is.na(osoba_bn_temat))&dziedzina_PBL=="bez_ukd_PBL"&is.na(bez_ukd_ale_PBL)&is.na(czy_wspomnienia_reportaz)&is.na(slowa_literackie)&is.na(czy_biblia)))
#czy tu usunąć zdublowane isbny?
#020
marc_field_020 <- bn_ok %>%
select(id,X020)%>%
filter(X020!="") %>%
mutate(X020=str_replace_all(X020,"(^|\\|)","~\\1")) %>%
cSplit(.,"X020",sep = "~",direction = "long") %>%
filter(X020!="") %>%
mutate(X020=str_remove_all(X020,"^\\|")) %>%
mutate(indicator = str_replace_all(X020,"(^.*?)(\\$.*)","\\1"))
subfield_list<- str_extract_all(bn_ok$X020,"\\$.")
subfield_list<- unique(unlist(subfield_list))
empty_table<- data.frame(matrix(ncol = length(subfield_list),nrow = lengths(marc_field_020)[1]))
colnames(empty_table) <-subfield_list
marc_field_020<-cbind(marc_field_020,empty_table)
subfield_list_char <- paste("(",subfield_list,")",sep = "")
subfield_list_char <- str_replace_all(subfield_list_char,"\\$","\\\\$")
x <- 1:length(subfield_list)
for (i in x) {
progress(match(i,x), max.value = length(x))
marc_field_020$X020 <- str_replace(marc_field_020$X020,subfield_list_char[i],"|\\1")
}
for (i in x) {
progress(match(i,x), max.value = length(x))
subfield_list_char2 <- str_replace_all(subfield_list,"\\$","\\\\$")
string_a <- "(^)(.*?\\|"
string_b <- subfield_list_char2[i]
string_c <- ")(.*?)(\\,{0,1})((\\|\\$)(.*)|$)"
string <- paste(string_a,string_b,string_c,sep = "")
marc_field_020[,i+3] <- ifelse(grepl(subfield_list_char2[i],marc_field_020$X020),str_replace_all(gsub(string,"\\3",marc_field_020$X020),"\\${2}.", "~"),NA)
}
marc_field_020 <- marc_field_020 %>%
select(id,isbn=`$a`)
distance1 <- bn_ok %>%
filter(!grepl("\\$n",X245)) %>%
left_join(.,marc_field_020,by="id") %>%
mutate(porownanie = paste(isbn,substr(str_to_lower(str_replace_all(X245, "\\W", "")),4,14),str_extract(X300,"(?<=\\$a)(.*?)(?=,| )"),sep = "|"))
count <- as.data.frame(table(distance1$porownanie))
distance1 <- merge(distance1,count,by.x = "porownanie",by.y = "Var1",all.x = TRUE) %>%
select(porownanie,Freq,2:155) %>%
arrange(-Freq,porownanie) %>%
select(porownanie,Freq,id) %>%
cSplit(.,"porownanie",sep = "|",direction = "wide") %>%
arrange(porownanie_2,porownanie_3,porownanie_1,-Freq,id)
count <- as.data.frame(table(distance1$porownanie_2,distance1$porownanie_3)) %>%
filter(Freq>0)
distance1 <- distance1 %>%
left_join(.,count,by=c("porownanie_2"="Var1","porownanie_3"="Var2")) %>%
arrange(porownanie_2,porownanie_3,-Freq.y,porownanie_1,-Freq.y,id) %>%
group_by_at(vars(4:6)) %>%
fill(porownanie_1) %>%
ungroup() %>%
unique() %>%
select(-Freq.y) %>%
rename(Freq = Freq.x)
#poszukanie dystansu Levenshteina == 1 przy takim samym ISBN
distance2 <- distance1 %>%
filter(!is.na(porownanie_1)) %>%
group_by(porownanie_1) %>%
mutate(Freq = paste(Freq,collapse = "|"),
id = paste(id,collapse = "|"),
porownanie_2 = paste(porownanie_2,collapse = "|"),
porownanie_3 = paste(porownanie_3,collapse = "|")) %>%
ungroup() %>%
unique() %>%
mutate(ile = str_count(porownanie_2,"\\|")+1) %>%
arrange(-ile) %>%
mutate(id_grupy = 1:lengths(.)) %>%
filter(ile>1) %>%
cSplit(.,c("Freq","id","porownanie_2","porownanie_3"),sep = "|",direction = "long") %>%
unique() %>%
filter(!is.na(id))
permutations <- data.frame(stringsAsFactors = FALSE)
x <- 1:max(distance2$id_grupy)
for (i in x) {
progress(match(i,x), max.value = length(x))
distance3 <- as.vector(unlist(distance2 %>% filter(id_grupy==i) %>% select(porownanie_2)))
iteration <- as.data.frame(permutations(distance3,2)) %>%
mutate(id_grupy = i)
y <- 1:length(iteration$V1)
for (j in y) {
progress(match(j,y), max.value = length(y))
iteration$distance[j] <- adist(iteration$V1[j],iteration$V2[j])
}
permutations <- rbind(permutations,iteration)
}
#permutations <- permutations %>%
# filter(distance==1)
permutations <- permutations %>%
filter(distance<1)
distance2 <- distance2 %>%
filter(id_grupy %in% permutations$id_grupy) %>%
select(id,id_grupy)
#połączyć distance2 z distance1, żeby wydobyć pełną listę zdublowanych książek
duble_ksiazek <- distance1 %>%
unite("porownanie", porownanie_1:porownanie_3, sep = "|") %>%
filter(Freq>1) %>%
full_join(.,distance2,by="id")
duble_ksiazek$same <- cumsum(!duplicated(duble_ksiazek$porownanie))
duble_ksiazek <- duble_ksiazek %>%
arrange(id_grupy,same) %>%
mutate(id_grupy_dubli = ifelse(!is.na(id_grupy),as.character(id_grupy),paste("x",same,sep = ""))) %>%
select(id,id_grupy_dubli) %>%
arrange(id_grupy_dubli)
duble_ksiazek$id_grupy_dubli <- cumsum(!duplicated(duble_ksiazek$id_grupy_dubli))
#uzupełnienie całego zbioru o informację o dublu, wydobycie dubli do osobnego pliku i usuniecie ich z głównego pliku z rekordami bn; wskazanie listy interesujących pól
bn_ok <- bn_ok %>%
left_join(.,duble_ksiazek,by="id") %>%
select(id, X008, X009, X015, X041, X044, X080, X100, X245, X246, X250, X260, X300, X380, X386, X490, X500, X501, X546, X600, X650, X655, X700, X710, X800, X830, rok, BN_URL, osoba_bn_autor, osoba_bn_temat, dziedzina_PBL, bez_ukd_ale_PBL, czy_wspomnienia_reportaz, slowa_literackie, czy_biblia, id_grupy_dubli)
duble_ksiazek <- bn_ok %>%
filter(!is.na(id_grupy_dubli)) %>%
arrange(id_grupy_dubli)
bn_ok <- bn_ok %>%
filter(is.na(id_grupy_dubli))
#wpisanie w zdublowane rekordy jak największej ilości danych (suma wszystkich dubli)
duble_ksiazek <- duble_ksiazek %>%
arrange(id_grupy_dubli,-nchar(X015))
duble_ksiazek[is.na(duble_ksiazek)] <- ""
duble_naprawione <- data.frame(stringsAsFactors = FALSE)
x <- 1:max(duble_ksiazek$id_grupy_dubli)
y <- c(4:27,29:34)
for (i in x) {
progress(match(i,x), max.value = length(x))
iteration <- duble_ksiazek %>%
filter(id_grupy_dubli==i)
for (j in y) {
if (j==30) {
iteration[,j] <- iteration[,j][nchar(iteration[,j])==min(nchar(iteration[,j]))][1]
} else {
iteration[,j] <- iteration[,j][nchar(iteration[,j])==max(nchar(iteration[,j]))][1]
}
}
duble_naprawione <- rbind(duble_naprawione,iteration)
}
#pozostawienie pojedynczych wierszy dla książek
duble_naprawione <- duble_naprawione[!duplicated(duble_naprawione$id_grupy_dubli),]
duble_naprawione <- duble_naprawione %>%
mutate(osoba_bn_autor = ifelse(osoba_bn_autor!="",as.character(osoba_bn_autor),NA),
osoba_bn_temat = ifelse(osoba_bn_temat!="",as.character(osoba_bn_temat),NA),
dziedzina_PBL = ifelse(dziedzina_PBL!="",as.character(dziedzina_PBL),NA),
bez_ukd_ale_PBL = ifelse(bez_ukd_ale_PBL!="",as.character(bez_ukd_ale_PBL),NA),
czy_wspomnienia_reportaz = ifelse(czy_wspomnienia_reportaz!="",as.character(czy_wspomnienia_reportaz),NA),
slowa_literackie = ifelse(slowa_literackie!="",as.character(slowa_literackie),NA),)
#połączenie unikatowych książek z dubli z całym zbiorem
bn_ok <- bn_ok %>%
bind_rows(.,duble_naprawione) %>%
select(-id_grupy_dubli)
#usunięcie zagranicznych zapisów, które nie są polonikami
#na podstawie braku wystąpień frazy "pol" w polach MARC
nie_poloniki <- bn_ok %>%
filter(if (X501=="") !grepl("pl",substr(X008,16,18))) %>%
filter(!grepl("pol",substr(X008,36,38))) %>%
filter(!grepl("pol",X041)) %>%
filter(!grepl("pl",X044)) %>%
filter(!grepl("pol",X500,ignore.case = TRUE)) %>%
filter(!grepl("pol",X501,ignore.case = TRUE)) %>%
filter(!grepl("pol",X546,ignore.case = TRUE)) %>%
select(id) %>%
mutate(czy_polonik = "nie") %>%
unique()
#na postawie wystąpień twórców pbl w polach uwag
#czy warto? co zrobić z case insensitivenes? --> za dużo śmieci wpada, zrezygnowałem z tego
bn_ok <- bn_ok %>%
full_join(.,nie_poloniki,by = "id") %>%
select(id, X008, X009, X041, X044, X080, X100, X245, X246, X250, X260, X300, X380, X386, X490, X500, X501, X500, X546, X600, X650, X655, X700, X710, X800, X830, rok, BN_URL, osoba_bn_autor, osoba_bn_temat, dziedzina_PBL, bez_ukd_ale_PBL, czy_wspomnienia_reportaz, slowa_literackie, czy_polonik, czy_biblia) %>%
unique()
#wskazanie niepoloników i usunięcie ze zbioru
nie_poloniki <- bn_ok %>%
filter(czy_polonik=="nie") %>%
filter(is.na(osoba_bn_autor)|is.na(osoba_bn_temat)|!(osoba_bn_autor %in% c("148|Hasła osobowe (literatura polska)","430|Hasła osobowe (Ludzie teatru i filmu)"))|!(osoba_bn_temat %in% c("148|Hasła osobowe (literatura polska)","430|Hasła osobowe (Ludzie teatru i filmu)")))
bn_ok <- sqldf("select *
from bn_ok a
where a.id not in (select b.id from nie_poloniki b)") %>%
select(-czy_polonik)
#usunięcie książek zabawek, do kolorowania, dla małych dzieci, z naklejkami, które nie mają żadnego deskryptora gatunkowego
ks_zabawki <- bn_ok %>%
filter((str_count(X655,"\\$a")==1&grepl("Książka zabawka|Książki dla małych dzieci|Książka do kolorowania|Książka z naklejkami|Książki dla przedszkolaków|Wydawnictwa dla dzieci",X655))|str_count(X655,"\\$a")==2&grepl("Książka obrazkowa",X655)&grepl("Książki dla małych dzieci",X655)|str_count(X655,"\\$a")==2&grepl("Książka do kolorowania",X655)&grepl("Publikacje dla dzieci",X655)|str_count(X655,"\\$a")==2&grepl("Książki zabawki",X655)&grepl("Wycinanki",X655)|str_count(X655,"\\$a")==2&grepl("Książki dla małych dzieci",X655)&grepl("Publikacje dla dzieci",X655))
bn_ok <- sqldf("select *
from bn_ok a
where a.id not in (select b.id from ks_zabawki b)")zapisy <- RJDBC::dbGetQuery(PBL,
"select z.za_zapis_id, z.za_status_imp, z.za_uwagi, z.za_adnotacje
from pbl_zapisy z
where z.za_uwagi like '%import%'") %>%
mutate(pracownik_pbl = str_extract(ZA_UWAGI, "(?<=akceptuje:)([A-Z]*)")) %>%
select(ZA_ZAPIS_ID,pracownik_pbl,ZA_STATUS_IMP,ZA_ADNOTACJE)
#aktualizacja - dodaj do skryptu listę z ostatnim brakującym zaimportowanym rocznikiem
do_importu_NIE <- rbind(listy_2004,listy_2005,listy_2006,listy_2007,listy_2008) %>%
full_join(.,zapisy,by = "ZA_ZAPIS_ID") %>%
select(X650,X655,ZA_STATUS_IMP,ZA_ADNOTACJE) %>%
mutate(X650 = str_remove_all(X650,"\\\\7"),
X655 = str_remove_all(X655,"\\\\7"),
joint = paste(X650,X655,sep = "~")) %>%
select(ZA_STATUS_IMP,joint,ZA_ADNOTACJE) %>%
group_by(joint) %>%
mutate(grupa = paste(ZA_STATUS_IMP,collapse = ","),
ZA_ADNOTACJE = paste(ZA_ADNOTACJE,collapse = ",")) %>%
ungroup() %>%
select(joint, grupa,ZA_ADNOTACJE) %>%
unique() %>%
filter(!grepl("rozpisana|rozpisać|rozpisania",ZA_ADNOTACJE)) %>%
mutate(ile = str_count(grupa,",")+1) %>%
filter(grepl("INO",grupa)) %>%
filter(!grepl("IOK|IMP|IPN|IPC",grupa)) %>%
mutate(czy = str_detect(joint,"\\$y[\\d-]+ w\\.")) %>%
filter(czy==FALSE) %>%
select(joint) %>%
mutate(joint = str_remove_all(str_replace_all(joint,"(\\$a)","\\\\#7\\1"),"#")) %>%
mutate(do_wyrzucenia_na_podstawie_INO = "tak")
bn_ok <- bn_ok %>%
mutate(X650 = ifelse(X650=="",NA,as.character(X650)),
X655 = ifelse(X655=="",NA,as.character(X655)),
joint = paste(X650,X655,sep = "~")) %>%
left_join(.,do_importu_NIE,by = "joint") %>%
mutate(X650 = ifelse(is.na(X650),"",as.character(X650)),
X655 = ifelse(is.na(X655),"",as.character(X655)))
do_importu_NIE <- bn_ok %>%
filter(is.na(osoba_bn_autor)&is.na(osoba_bn_temat)&is.na(slowa_literackie)&do_wyrzucenia_na_podstawie_INO=="tak") %>%
filter(!grepl("literat|literac|pamiętnik|pisar",X655,ignore.case = TRUE))
bn_ok <- sqldf("select *
from bn_ok a
where a.id not in (select b.id from do_importu_NIE b)") %>%
select(-joint,-do_wyrzucenia_na_podstawie_INO)
#usunięcie na podstawie tabel KP
out <- sheets_read(ss = "1lO_ZtwyBDePGqXkgWyk_WmGeQBaAQBvEUjNnctrw-vg") %>%
filter(wchodzi_do_pbl == "nie")
Reading from 'X650 dla X655 Wydawnictwa popularne'KP_out <- bn_ok %>%
filter(grepl("Wydawnictwa popularne",X655)) %>%
unique() %>%
full_join(.,out,by = "X650") %>%
filter(wchodzi_do_pbl=="nie") %>%
filter(!is.na(X655)) %>%
select(id)
bn_ok <- sqldf("select *
from bn_ok a
where a.id not in (select b.id from KP_out b)")
#czy próbować wyrzucać po UKD, które dostawało tylko INO?
#aktualizacja - dodaj do skryptu listę z ostatnim brakującym zaimportowanym rocznikiem
do_importu_NIE2 <- rbind(listy_2004,listy_2005,listy_2006,listy_2007,listy_2008) %>%
full_join(.,zapisy,by = "ZA_ZAPIS_ID") %>%
select(X080,ZA_STATUS_IMP) %>%
mutate(X080 = str_remove_all(X080,"\\\\")) %>%
select(ZA_STATUS_IMP,X080) %>%
group_by(X080) %>%
mutate(grupa = paste(ZA_STATUS_IMP,collapse = ",")) %>%
ungroup() %>%
select(X080, grupa) %>%
unique() %>%
mutate(ile = str_count(grupa,",")+1) %>%
filter(grepl("INO",grupa)) %>%
filter(!grepl("IOK|IMP|IPN|IPC",grupa)) %>%
#tu się musi KP wypowiedzieć, czy jak było 2xNIE to wystarczy, żeby wywalać
# filter(ile > 1) %>%
select(X080) %>%
mutate(X080 = paste("\\",str_remove_all(str_replace_all(X080,"(\\$a)","\\\\#\\1"),"#"),sep = "")) %>%
mutate(do_wyrzucenia_na_podstawie_INO = "tak")
#na podstawie UKD też wyrzucić - decyzja KP
bn_ok <- bn_ok %>%
full_join(.,do_importu_NIE2,by = "X080") %>%
filter(!is.na(id))
do_importu_NIE2 <- bn_ok %>%
filter(is.na(osoba_bn_autor)&is.na(osoba_bn_temat)&is.na(slowa_literackie)&do_wyrzucenia_na_podstawie_INO=="tak")
bn_ok <- sqldf("select *
from bn_ok a
where a.id not in (select b.id from do_importu_NIE2 b)") %>%
select(-do_wyrzucenia_na_podstawie_INO)
#reszta rekordów, które nie będą zaimportowane
reszta <- sqldf("select *
from bn_ks a
where a.id not in
(select b.id
from bn_ok b)")stare_rodzajowanie <- bn_ok %>%
mutate(czy_ma_ukd = ifelse(X080=="","nie","tak"),
position_dash = ifelse(grepl("(\\\\\\\\\\$a|:)(821\\.)",X080),str_locate(X080,"\\-")[,1], NA),
position_dash = ifelse(is.na(position_dash),"",as.integer(position_dash)),
position_091 = str_locate(X080,"\\(091\\)")[,1],
position_091 = ifelse(is.na(position_091),"",as.integer(position_091)),
rodzaj_ksiazki = ifelse(grepl("Antologi",X655),"antologia",
ifelse(position_091!=""&position_dash!="",
ifelse(as.integer(position_091)<as.integer(position_dash), "przedmiotowa", "podmiotowa"),
ifelse(position_dash!="","podmiotowa","przedmiotowa"))),
rodzaj_ksiazki = ifelse(czy_ma_ukd=="nie","",as.character(rodzaj_ksiazki)))
gatunki_podmiotowe <- stare_rodzajowanie %>%
filter(rodzaj_ksiazki=="podmiotowa") %>%
select(X655) %>%
unique() %>%
cSplit(.,"X655",sep = "|",direction = "long") %>%
unique() %>%
filter(str_detect(X655,"\\$y[\\d-]+ w\\."))
gatunki_podmiotowe <- str_replace_all(str_replace_all(paste(gatunki_podmiotowe$X655,collapse = "|"),"(.{2})(\\$a)","\\2"),"\\$","\\\\$")
stare_rodzajowanie$czy_podmiotowy <- grepl(gatunki_podmiotowe,stare_rodzajowanie$X655)|grepl(gatunki_podmiotowe,stare_rodzajowanie$X650)
stare_rodzajowanie <- stare_rodzajowanie %>%
mutate(rodzaj_ksiazki = ifelse(str_count(X245, " / ")+1>2,"antologia",
ifelse(str_count(X245, " / ")+1==2,"współwydanie",
ifelse(rodzaj_ksiazki==""&czy_podmiotowy==TRUE&!grepl("xhistoria|xtematyka|xbiografia",X650)&!grepl("xhistoria|xtematyka|xbiografia",X655),"podmiotowa",
ifelse(X100!=""&grepl("aPamiętnik|aLiteratura podróżnicza",X655)&!grepl("xhistoria|xtematyka|xbiografia",X650)&!grepl("xhistoria|xtematyka|xbiografia",X655),"podmiotowa",
ifelse(X100!=""&grepl("aReportaż",X655)&grepl("\\$y",X655)&!grepl("xhistoria|xtematyka|xbiografia",X650)&!grepl("xhistoria|xtematyka|xbiografia",X655),"podmiotowa",
ifelse(X100!=""&(X655=="\\7$aReportaż polski$2DBN"|X655=="\\7$aReportaż$2DBN")&!grepl("xhistoria|xtematyka|xbiografia",X650)&!grepl("xhistoria|xtematyka|xbiografia",X655),"podmiotowa",
ifelse(rodzaj_ksiazki==""&czy_podmiotowy==FALSE,"przedmiotowa",as.character(rodzaj_ksiazki)))))))),
rodzaj_ksiazki = ifelse(rodzaj_ksiazki=="","przedmiotowa",as.character(rodzaj_ksiazki)),
rodzaj_ksiazki = ifelse(grepl("Lektury Wszech Czasów : streszczenie, analiza, interpretacja|Lektury Wszech Czasów - Literat|Biblioteczka Opracowań",X490)|grepl("Lektury Wszech Czasów : streszczenie, analiza, interpretacja|Lektury Wszech Czasów - Literat|Biblioteczka Opracowań",X830),"przedmiotowa",as.character(rodzaj_ksiazki)),
ilu_tworcow = str_count(X100,"\\$a"),
rodzaj_ksiazki = ifelse(ilu_tworcow>4&rodzaj_ksiazki=="podmiotowa","antologia",as.character(rodzaj_ksiazki)),
rodzaj_ksiazki = ifelse(grepl("Legendy",X655),"antologia",as.character(rodzaj_ksiazki))) %>%
filter(grepl("katalog wystawy",X655,ignore.case = TRUE)&rodzaj_ksiazki=="przedmiotowa") %>%
select(id)
##właściwe rodzajowanie z uwaględnieniem jednego elementu ze starego rodzajowania
bn_ok <- bn_ok %>%
mutate(czy_ma_ukd = ifelse(X080=="","nie","tak"),
position_dash = ifelse(grepl("(\\\\\\\\\\$a|:)(821\\.)",X080),str_locate(str_replace(X080,"(.*?)(\\$a821\\.)(.*?$)","\\2\\3"),"\\-")[,1]+nchar(str_replace(X080,"(.*?)(\\$a821\\.)(.*?$)","\\1")), NA),
position_dash = ifelse(is.na(position_dash),"",as.integer(position_dash)),
position_091 = str_locate(X080,"\\(091\\)")[,1],
position_091 = ifelse(is.na(position_091),"",as.integer(position_091)),
rodzaj_ksiazki = ifelse(grepl("antologi|Przysłowia [\\S]+\\$2|Cytaty\\$2",X655,ignore.case = TRUE),"antologia",
ifelse(position_091!=""&position_dash!="",
ifelse(as.integer(position_091)<as.integer(position_dash), "przedmiotowa", "podmiotowa"),
ifelse(position_dash!="","podmiotowa","przedmiotowa"))),
rodzaj_ksiazki = ifelse(czy_ma_ukd=="nie","",as.character(rodzaj_ksiazki)),
rodzaj_ksiazki = ifelse(grepl("82-93",X080)&rodzaj_ksiazki!="antologia","podmiotowa",as.character(rodzaj_ksiazki)))
rekordy_podmiotowe_stare <- dbGetQuery(PBL,
"select z.za_zapis_id
from pbl_zapisy z
join IBL_OWNER.pbl_rodzaje_zapisow rz on rz.rz_rodzaj_id=z.za_rz_rodzaj1_id
where rz.rz_rodzaj_id=1
and z.za_uwagi like '%import%'")
#aktualizacja - dodaj do skryptu listę z ostatnim brakującym zaimportowanym rocznikiem
gatunki_poprzednie_imp <- rbind(listy_2004,listy_2005,listy_2006,listy_2007,listy_2008) %>%
filter(ZA_ZAPIS_ID %in% rekordy_podmiotowe_stare$ZA_ZAPIS_ID) %>%
mutate(X655 = ifelse(rok==2004,str_remove_all(str_replace_all(X655,"(\\$a)","\\\\#7\\1"),"#"),as.character(X655))) %>%
select(X655) %>%
unique()
gatunki_podmiotowe <- bn_ok %>%
filter(rodzaj_ksiazki=="podmiotowa") %>%
select(X655) %>%
bind_rows(.,gatunki_poprzednie_imp) %>%
unique() %>%
cSplit(.,"X655",sep = "|",direction = "long") %>%
unique() %>%
filter(!grepl("xhistoria|xtematyka|xbiografia",X655)) %>%
filter(str_detect(X655,"\\$y[\\d-]+ w\\.")) %>%
#mutate(X655 = str_replace(X655, "(?<= )(\\S+)(\\$y)(.*?$)", "[\\\\S]+\\2")) %>%
mutate(X655 = str_replace(X655, "(?<= )(\\S+)(\\$y)(.*?$)", ".+\\2")) %>%
unique()
gatunki_podmiotowe <- str_replace_all(str_replace_all(paste(gatunki_podmiotowe$X655,collapse = "|"),"(.{2})(\\$a)","\\2"),"\\$","\\\\$")
bn_ok$czy_podmiotowy <- grepl(gatunki_podmiotowe,bn_ok$X655)|grepl(gatunki_podmiotowe,bn_ok$X650)
bn_ok <- bn_ok %>%
mutate(rodzaj_ksiazki = ifelse(str_count(X245, " \\/ ")+1>2,"antologia",
ifelse(str_count(X245, " \\/ \\[{0,1}[A-ZAÁÀÂÃÄĂĀÅĄÆEÉÈÊËĚĒĖĘIÍÌÎÏĪĮIOÓÒÔÕÖŐØŒUÚÙÛÜŰŪůYÝCĆČçDĎĐĐGĢĞKĶLŁĻNŃÑŇŅŊRŘSŚŠŞSßTŤŦÞŢ8ZŻŹŽ]")+1==2,"współwydanie",
ifelse(rodzaj_ksiazki==""&czy_podmiotowy==TRUE&!grepl("xhistoria|xtematyka|xbiografia",X650)&!grepl("xhistoria|xtematyka|xbiografia",X655),"podmiotowa",
ifelse(X100!=""&grepl("aPamiętnik|aLiteratura podróżnicza",X655)&!grepl("xhistoria|xtematyka|xbiografia",X650)&!grepl("xhistoria|xtematyka|xbiografia",X655),"podmiotowa",
ifelse(X100!=""&grepl("aReportaż",X655)&grepl("\\$y",X655)&!grepl("xhistoria|xtematyka|xbiografia",X650)&!grepl("xhistoria|xtematyka|xbiografia",X655),"podmiotowa",
ifelse(X100!=""&(X655=="\\7$aReportaż polski$2DBN"|X655=="\\7$aReportaż$2DBN")&!grepl("xhistoria|xtematyka|xbiografia",X650)&!grepl("xhistoria|xtematyka|xbiografia",X655),"podmiotowa",
ifelse(rodzaj_ksiazki==""&czy_podmiotowy==FALSE,"przedmiotowa",as.character(rodzaj_ksiazki)))))))),
rodzaj_ksiazki = ifelse(rodzaj_ksiazki=="","przedmiotowa",as.character(rodzaj_ksiazki)),
rodzaj_ksiazki = ifelse(grepl("Lektury Wszech Czasów \\: streszczenie, analiza, interpretacja|Lektury Wszech Czasów - Literat|Biblioteczka Opracowań",X490)|grepl("Lektury Wszech Czasów \\: streszczenie, analiza, interpretacja|Lektury Wszech Czasów - Literat|Biblioteczka Opracowań",X830),"przedmiotowa",as.character(rodzaj_ksiazki)),
rodzaj_ksiazki = ifelse(grepl("aLektura z Opracowaniem - Zielona Sowa|aLektura \\(Greg\\)|aLektura Dobrze Opracowana|aLektura z Opracowaniem - Ibis",X830),"podmiotowa",as.character(rodzaj_ksiazki)),
ilu_tworcow = str_count(X100,"\\$a"),
rodzaj_ksiazki = ifelse(ilu_tworcow>4&rodzaj_ksiazki=="podmiotowa","antologia",as.character(rodzaj_ksiazki)),
rodzaj_ksiazki = ifelse(grepl("Legendy|\\$vantologi",X655),"antologia",as.character(rodzaj_ksiazki)),
rodzaj_ksiazki = ifelse(str_count(X100, "\\|")==0&X100!=""&rodzaj_ksiazki=="antologia"&grepl("Legendy i podania|Antologia",X655),"podmiotowa",as.character(rodzaj_ksiazki)),
rodzaj_ksiazki = ifelse(X100==""&str_count(X700,"\\$t")==3&grepl("Harlequin",X260),"antologia",as.character(rodzaj_ksiazki))) %>%
select(1:31,rodzaj_ksiazki)
# przypisania do podmiotowej na podstawie smierci przed 1700
marc_field_100 <- bn_ok %>%
filter(!is.na(osoba_bn_autor)) %>%
select(id,X100)%>%
filter(!grepl("\\|", X100)) %>%
filter(X100!="") %>%
mutate(X100=str_replace_all(X100,"(^|\\|)","~\\1")) %>%
cSplit(.,"X100",sep = "~",direction = "long") %>%
filter(X100!="") %>%
mutate(X100=str_remove_all(X100,"^\\|")) %>%
mutate(indicator = str_replace_all(X100,"(^.*?)(\\$.*)","\\1"))
subfield_list<- str_extract_all(bn_ok$X100,"\\$.")
subfield_list<- unique(unlist(subfield_list))
empty_table<- data.frame(matrix(ncol = length(subfield_list),nrow = lengths(marc_field_100)[1]))
colnames(empty_table) <-subfield_list
marc_field_100<-cbind(marc_field_100,empty_table)
subfield_list_char <- paste("(",subfield_list,")",sep = "")
subfield_list_char <- str_replace_all(subfield_list_char,"\\$","\\\\$")
x <- 1:length(subfield_list)
for (i in x) {
progress(match(i,x), max.value = length(x))
marc_field_100$X100 <- str_replace(marc_field_100$X100,subfield_list_char[i],"|\\1")
}
for (i in x) {
progress(match(i,x), max.value = length(x))
subfield_list_char2 <- str_replace_all(subfield_list,"\\$","\\\\$")
string_a <- "(^)(.*?\\|"
string_b <- subfield_list_char2[i]
string_c <- ")(.*?)(\\,{0,1})((\\|\\$)(.*)|$)"
string <- paste(string_a,string_b,string_c,sep = "")
marc_field_100[,i+3] <- ifelse(grepl(subfield_list_char2[i],marc_field_100$X100),str_replace_all(gsub(string,"\\3",marc_field_100$X100),"\\${2}.", "~"),NA)
}
marc_field_100 <- marc_field_100 %>%
filter(!is.na(`$d`) & str_extract(`$d`, "\\d+(?!.*\\d+)") < 1700)
bn_ok <- bn_ok %>%
mutate(rodzaj_ksiazki = ifelse(id %in% marc_field_100$id, "podmiotowa", as.character(rodzaj_ksiazki)),
rodzaj_ksiazki = ifelse(id %in% stare_rodzajowanie$id, "przedmiotowa",as.character(rodzaj_ksiazki)),
rodzaj_ksiazki = ifelse(X080=="\\\\$a82-1/-9(0.054)"&rodzaj_ksiazki=="przedmiotowa"&!grepl("xhistoria|xtematyka|xbiografia",X650)&!grepl("xhistoria|xtematyka|xbiografia",X655),"podmiotowa",as.character(rodzaj_ksiazki)))IOK_podm <- bn_ok %>%
filter(!grepl("\\$t",X700)) %>%
mutate(ile_gatunkow = ifelse(rodzaj_ksiazki=="podmiotowa",str_count(X655,"\\$a"),"nie"),
tylko_podmiotowe = ifelse(str_count(X655,"\\$a")>0&str_count(X655,"\\$a")==str_count(X655,"\\$y")&str_count(X655,"\\$y")!=str_count(X655,"\\$x"),"tak","nie")) %>%
filter(str_count(X100,"\\$a")==1) %>%
filter(!grepl("pseud|nazwa",X500,ignore.case = TRUE)&X501==""&(tylko_podmiotowe=="tak"|ile_gatunkow=="1")&X100!="")
#zestawienie 100 i 245
#100
marc_field_100 <- IOK_podm %>%
select(id,X100)%>%
filter(X100!="") %>%
mutate(X100=str_replace_all(X100,"(^|\\|)","~\\1")) %>%
cSplit(.,"X100",sep = "~",direction = "long") %>%
filter(X100!="") %>%
mutate(X100=str_remove_all(X100,"^\\|")) %>%
mutate(indicator = str_replace_all(X100,"(^.*?)(\\$.*)","\\1"))
subfield_list<- str_extract_all(IOK_podm$X100,"\\$.")
subfield_list<- unique(unlist(subfield_list))
empty_table<- data.frame(matrix(ncol = length(subfield_list),nrow = lengths(marc_field_100)[1]))
colnames(empty_table) <-subfield_list
marc_field_100<-cbind(marc_field_100,empty_table)
subfield_list_char <- paste("(",subfield_list,")",sep = "")
subfield_list_char <- str_replace_all(subfield_list_char,"\\$","\\\\$")
x <- 1:length(subfield_list)
for (i in x) {
progress(match(i,x), max.value = length(x))
marc_field_100$X100 <- str_replace(marc_field_100$X100,subfield_list_char[i],"|\\1")
}Progress: 1 on 6 Progress: 2 on 6 Progress: 3 on 6 Progress: 4 on 6 Progress: 5 on 6 Progress: 6 on 6 for (i in x) {
progress(match(i,x), max.value = length(x))
subfield_list_char2 <- str_replace_all(subfield_list,"\\$","\\\\$")
string_a <- "(^)(.*?\\|"
string_b <- subfield_list_char2[i]
string_c <- ")(.*?)(\\,{0,1})((\\|\\$)(.*)|$)"
string <- paste(string_a,string_b,string_c,sep = "")
marc_field_100[,i+3] <- ifelse(grepl(subfield_list_char2[i],marc_field_100$X100),str_replace_all(gsub(string,"\\3",marc_field_100$X100),"\\${2}.", "~"),NA)
}Progress: 1 on 6 Progress: 2 on 6 Progress: 3 on 6 Progress: 4 on 6 Progress: 5 on 6 Progress: 6 on 6 marc_field_100 <- marc_field_100 %>%
select(id,`$a`) %>%
mutate(bn_nazwisko = ifelse(str_detect(`$a`,","),str_replace(`$a`,"^(.*?)(, )(.*?$)","\\1"),as.character(`$a`)),
bn_imie = ifelse(str_detect(`$a`,","),str_replace(`$a`,"^(.*?)(, )(.*?$)","\\3"),"")) %>%
select(id,bn_nazwisko,bn_imie)
IOK_podm <- IOK_podm %>%
full_join(.,marc_field_100,by = "id")
x <- 1:length(IOK_podm$id)
for (i in x) {
IOK_podm$czy_nazwisko[i] <- grepl(IOK_podm$bn_nazwisko[i],IOK_podm$X245[i])
IOK_podm$czy_imie[i] <- grepl(IOK_podm$bn_imie[i],IOK_podm$X245[i])
}
#usunięcie tych, które nie mają tytułów oryginalnych
IOK_podm <- IOK_podm %>%
filter(czy_nazwisko==1&czy_imie==1&!grepl("et al\\.",X245)) %>%
select(-bn_nazwisko,-bn_imie,-czy_nazwisko,-czy_imie) %>%
unique() %>%
mutate(jezyk = str_extract(X041,("(?<=\\$h)(...)"))) %>%
mutate(czy_tytul_obcy = ifelse(is.na(jezyk),"nie dotyczy",
ifelse(!grepl("pol",jezyk),
ifelse(X246!="","ok",
ifelse(grepl("Tyt[,\\.] oryg",X501)|grepl("Tyt[,\\.] oryg",X500),"ok","problem")),"nie dotyczy"))) %>%
filter(czy_tytul_obcy!="problem") %>%
select(id) %>%
mutate(automatyczna_podmiotowa = "tak")
###tutaj kończą się automatyczne podmiotowe
bn_ok <- bn_ok %>%
full_join(.,IOK_podm,by = "id") %>%
mutate(czy_automatycznie = ifelse(!is.na(automatyczna_podmiotowa),"podmiotowa","nie")) %>%
select(-automatyczna_podmiotowa) %>%
mutate(czy_automatycznie = ifelse(czy_automatycznie=="podmiotowa"&rodzaj_ksiazki!="podmiotowa","nie",as.character(czy_automatycznie)))
###czy i jak automatyzować przedmiotową?
#write.csv2(bn_ok, "C:/Users/Cezary/Desktop/bn_ok_2009.csv", row.names = F, na = '', fileEncoding = 'UTF-8')na_pozniej <- bn_ok %>%
filter(czy_automatycznie=="nie"&rodzaj_ksiazki=="przedmiotowa"&dziedzina_PBL=="bez_ukd_PBL") %>%
mutate(kategorie_literackie = ifelse(grepl("mitolog|baś|bajk|poezj|liryk|epik|dramat|literac|literat|pisar|wiersz|proz|powieś|opowiad|miniatur|aforyzm|esej|szkic|feliet|report|dzienni|wspomnie|autobiograf|kaza|rozmyśl|list|interpretacj",X650,ignore.case = TRUE)|grepl("mitolog|baś|bajk|poezj|liryk|epik|dramat|literac|literat|pisar|wiersz|proz|powieś|opowiad|miniatur|aforyzm|esej|szkic|feliet|report|dzienni|wspomnie|autobiograf|kaza|rozmyśl|list|interpretacj",X655, ignore.case = TRUE),"tak","nie")) %>%
filter(kategorie_literackie=="nie") %>%
mutate(lata = ifelse(grepl("\\d{2}-",X100),str_replace(X100,"(.*\\$d\\(.*?)(\\d{2,4})(\\?{0,1}-.*)","\\2"),NA),
lata_temat = ifelse(grepl("\\d{2}-",X600),str_replace(X600,"(.*\\$d\\(.*?)(\\d{2,4})(\\?{0,1}-.*)","\\2"),NA)) %>%
filter((is.na(lata)&is.na(lata_temat))|!(as.integer(lata)<1800)|!(as.integer(lata_temat)<1800))pojawi戼㸳y si攼㹡 warto㤼㹣ci NA na skutek przekszta戼㸳ceniapojawi戼㸳y si攼㹡 warto㤼㹣ci NA na skutek przekszta戼㸳cenia#aktualizacja - wpisz właściwy rok w ścieżkę pliku
write.csv2(na_pozniej, "C:/Users/Cezary/Desktop/bn_2009_ks_na_pozniej.csv", row.names = F, na = '', fileEncoding = 'UTF-8')
bn_ok <- sqldf("select *
from bn_ok a
where a.id not in (select b.id from na_pozniej b)")Czy jest sens to robić?
###automatycznie działowanie przedmiotowej na podstawie dotychczasowych importów
#zapisy <- RJDBC::dbGetQuery(PBL,
# "select z.za_zapis_id, dz.dz_dzial_id, dz.dz_nazwa, z.za_status_imp, z.za_uwagi
# from pbl_zapisy z
# join pbl_dzialy dz on dz.dz_dzial_id=z.za_dz_dzial1_id
# where z.za_uwagi like '%import%'") %>%
# mutate(pracownik_pbl = str_extract(ZA_UWAGI, "(?<=akceptuje:)([A-Z]*)")) %>%
# select(-ZA_UWAGI)
#
#poprzednie_importy <- rbind(listy_2004,listy_2005,listy_2006,listy_2007,listy_2008) %>%
# full_join(.,zapisy,by = "ZA_ZAPIS_ID") %>%
# select(X650,X655,DZ_DZIAL_ID,DZ_NAZWA,ZA_STATUS_IMP) %>%
# mutate(X650 = str_remove_all(X650,"\\\\7"),
# X655 = str_remove_all(X655,"\\\\7"),
# X650 = str_remove_all(str_replace_all(X650,"(\\$a)","\\\\#7\\1"),"#"),
# X655 = str_remove_all(str_replace_all(X655,"(\\$a)","\\\\#7\\1"),"#")) %>%
# group_by_at(vars(X650:DZ_NAZWA)) %>%
# mutate(ZA_STATUS_IMP = paste(ZA_STATUS_IMP,collapse = "|")) %>%
# ungroup() %>%
# unique() %>%
# ungroup() %>%
# filter(!grepl("\\|",DZ_DZIAL_ID)) %>%
# filter(grepl("IOK",ZA_STATUS_IMP)) %>%
# filter(!grepl("INO|IMP|IPN|IPC",ZA_STATUS_IMP)) %>%
# filter(!grepl("osobowe",DZ_NAZWA)) %>%
# filter(!(is.na(X650)&is.na(X655))) %>%
# mutate(ile650 = str_count(X650,"\\|")+1,
# ile655 = str_count(X655,"\\|")+1) %>%
# filter(ile650<=10|ile655<=10) %>%
# select(-ile650,-ile655) %>%
# mutate(ile_statusow = str_count(ZA_STATUS_IMP,"\\|")+1) %>%
# arrange(X655,X650,-ile_statusow)
#poprzednie_importy$id_grupy <- cumsum(!duplicated(poprzednie_importy[1:2]))
#poprzednie_importy <- poprzednie_importy[!duplicated(poprzednie_importy$id_grupy),] %>%
# mutate(id = row_number()) %>%
# select(-ile_statusow,-id_grupy)
#
#do_dzialowania <- data.frame(id = as.integer(), X650 = as.character(), X655 = as.character(), stringsAsFactors = FALSE)
#x <- 1:length(poprzednie_importy$id)
#for (i in x){
# progress(match(i,x), max.value = length(x))
# if (is.na(poprzednie_importy$X650[i])&!is.na(poprzednie_importy$X655[i])){
# permutations <- as.data.frame(permutations(unlist(str_split(poprzednie_importy$X655[i],"\\|")), str_count(poprzednie_importy$X655[i],"\\|")+1)) %>%
# unite(data=.,col = "permutation", sep = "|") %>%
# mutate(X650 = NA,
# X655 = permutation,
# id = poprzednie_importy$id[i]) %>%
# select(id,X650,X655)
# do_dzialowania <- rbind(do_dzialowania,permutations)
# } else if (is.na(poprzednie_importy$X655[i])&!is.na(poprzednie_importy$X650[i])){
# permutations <- as.data.frame(permutations(unlist(str_split(poprzednie_importy$X650[i],"\\|")), str_count(poprzednie_importy$X650[i],"\\|")+1)) %>%
# unite(data=.,col = "permutation", sep = "|") %>%
# mutate(X650 = permutation,
# X655 = NA,
# id = poprzednie_importy$id[i]) %>%
# select(id,X650,X655)
# do_dzialowania <- rbind(do_dzialowania,permutations)
# } else {
# permutations <- as.data.frame(permutations(unlist(str_split(poprzednie_importy$X650[i],"\\|")), str_count(poprzednie_importy$X650[i],"\\|")+1)) %>%
# unite(data=.,col = "permutation", sep = "|") %>%
# mutate(X650 = permutation,
# id = poprzednie_importy$id[i]) %>%
# select(id,X650)
# permutations650 <- data.frame(stringsAsFactors = FALSE)
# permutations650 <- rbind(permutations650,permutations)
# permutations <- as.data.frame(permutations(unlist(str_split(poprzednie_importy$X655[i],"\\|")), str_count(poprzednie_importy$X655[i],"\\|")+1)) %>%
# unite(data=.,col = "permutation", sep = "|") %>%
# mutate(X655 = permutation,
# id = poprzednie_importy$id[i]) %>%
# select(id,X655)
# permutations655 <- data.frame(stringsAsFactors = FALSE)
# permutations655 <- rbind(permutations655,permutations)
# permutations <- merge(permutations650,permutations655,by = "id",all = TRUE) %>%
# select(id,X650,X655)
# do_dzialowania <- rbind(do_dzialowania,permutations)
# }
#}
#
#do_dzialowania <- do_dzialowania %>%
# full_join(.,poprzednie_importy %>% select(id,DZ_DZIAL_ID,DZ_NAZWA),by = "id") %>%
# select(-id)
#do_dzialowania[is.na(do_dzialowania)] <- ""
#####tutaj sprawdzić
#do_dzialowania_przedm <- merge(bn_ok %>% filter(czy_automatycznie=="nie"&rodzaj_ksiazki=="przedmiotowa"),do_dzialowania, by = c("X650","X655")) %>%
# select(id,DZ_DZIAL_ID,DZ_NAZWA)#wczytanie kartotek PBL
redaktorzy_dzialow <- sheets_read(ss = "1Baje-ZfPgAKEDAoDzeo_eCBDrsL7jAXt6ubP2cedbFc", sheet = "redaktorzy_działów") %>%
select(DZ_DZIAL_ID, DZ_NAZWA, redaktor_dzialu) #%>%Reading from 'redaktorzy dzia戼㸳昼㸳w'
Range "'redaktorzy_dzia戼㸳昼㸳w'"
New names:
* `` -> ...14 #mutate(DZ_DZIAL_ID = as.character(DZ_DZIAL_ID))
PBL_dzialy <- dbReadTable(PBL,'PBL_DZIALY') %>%
select(1,3,6)Note: method with signature 㤼㸱DBIConnection#character㤼㸲 chosen for function 㤼㸱dbReadTable㤼㸲,
target signature 㤼㸱JDBCConnection#character㤼㸲.
"JDBCConnection#ANY" would also be validPBL_dzialy_path <- merge(x = PBL_dzialy, y = PBL_dzialy, by.x = "DZ_DZ_DZIAL_ID", by.y = "DZ_DZIAL_ID", all.x = TRUE)
colnames(PBL_dzialy_path) <- c("NAD_DZ_DZIAL_ID", "DZ_DZIAL_ID", "DZ_NAZWA", "NAD_DZ_NAZWA", "NAD_NAD_DZ_DZIAL_ID")
PBL_dzialy_path <- merge(x = PBL_dzialy_path, y = PBL_dzialy, by.x = "NAD_NAD_DZ_DZIAL_ID", by.y = "DZ_DZIAL_ID", all.x = TRUE)
colnames(PBL_dzialy_path) <- c("NAD_NAD_DZ_DZIAL_ID", "NAD_DZ_DZIAL_ID", "DZ_DZIAL_ID", "DZ_NAZWA", "NAD_DZ_NAZWA", "NAD_NAD_DZ_NAZWA", "NAD_NAD_NAD_DZ_DZIAL_ID")
PBL_dzialy_path <- merge(x = PBL_dzialy_path, y = PBL_dzialy, by.x = "NAD_NAD_NAD_DZ_DZIAL_ID", by.y = "DZ_DZIAL_ID", all.x = TRUE)
colnames(PBL_dzialy_path) <- c("NAD_NAD_NAD_DZ_DZIAL_ID", "NAD_NAD_DZ_DZIAL_ID", "NAD_DZ_DZIAL_ID", "DZ_DZIAL_ID", "DZ_NAZWA", "NAD_DZ_NAZWA", "NAD_NAD_DZ_NAZWA", "NAD_NAD_NAD_DZ_NAZWA", "NAD_NAD_NAD_NAD_DZ_DZIAL_ID")
PBL_dzialy_path <- merge(x = PBL_dzialy_path, y = PBL_dzialy, by.x = "NAD_NAD_NAD_NAD_DZ_DZIAL_ID", by.y = "DZ_DZIAL_ID", all.x = TRUE)
colnames(PBL_dzialy_path) <- c("NAD_NAD_NAD_NAD_DZ_DZIAL_ID", "NAD_NAD_NAD_DZ_DZIAL_ID", "NAD_NAD_DZ_DZIAL_ID", "NAD_DZ_DZIAL_ID", "DZ_DZIAL_ID", "DZ_NAZWA", "NAD_DZ_NAZWA", "NAD_NAD_DZ_NAZWA", "NAD_NAD_NAD_DZ_NAZWA", "NAD_NAD_NAD_NAD_DZ_NAZWA", "NAD_NAD_NAD_NAD_NAD_DZ_DZIAL_ID")
PBL_dzialy_path <- merge(x = PBL_dzialy_path, y = PBL_dzialy, by.x = "NAD_NAD_NAD_NAD_NAD_DZ_DZIAL_ID", by.y = "DZ_DZIAL_ID", all.x = TRUE)
colnames(PBL_dzialy_path) <- c("NAD_NAD_NAD_NAD_NAD_DZ_DZIAL_ID", "NAD_NAD_NAD_NAD_DZ_DZIAL_ID", "NAD_NAD_NAD_DZ_DZIAL_ID", "NAD_NAD_DZ_DZIAL_ID", "NAD_DZ_DZIAL_ID", "DZ_DZIAL_ID", "DZ_NAZWA", "NAD_DZ_NAZWA", "NAD_NAD_DZ_NAZWA", "NAD_NAD_NAD_DZ_NAZWA", "NAD_NAD_NAD_NAD_DZ_NAZWA", "NAD_NAD_NAD_NAD_NAD_DZ_NAZWA", "NAD_NAD_NAD_NAD_NAD_NAD_DZ_DZIAL_ID")
PBL_dzialy_path <- PBL_dzialy_path %>%
select(-length(PBL_dzialy_path)) %>%
filter(DZ_DZIAL_ID!=0) %>%
select(6,7,5,8,4,9,3,10,2,11,1,12) %>%
unique()
PBL_dz_osob <- PBL_dzialy_path %>%
filter(grepl("osobowe", DZ_NAZWA)|grepl("osobowe", NAD_DZ_NAZWA)|grepl("osobowe", NAD_NAD_DZ_NAZWA)|grepl("osobowe", NAD_NAD_NAD_DZ_NAZWA)|grepl("osobowe", NAD_NAD_NAD_NAD_DZ_NAZWA)|grepl("osobowe", NAD_NAD_NAD_NAD_NAD_DZ_NAZWA)) %>%
select(1,2,3,4,5,6,7,8) %>%
filter(DZ_DZIAL_ID!=148)
PBL_dz_osob_1 <- PBL_dz_osob %>%
select(1,2,3,4)
PBL_dz_osob_2 <- PBL_dz_osob %>%
select(1,2,5,6)
PBL_dz_osob_3 <- PBL_dz_osob %>%
select(1,2,7,8)
colnames(PBL_dz_osob_2) <- c(names(PBL_dz_osob_1))
colnames(PBL_dz_osob_3) <- c(names(PBL_dz_osob_1))
PBL_dz_osob <- rbind(PBL_dz_osob_1,PBL_dz_osob_2,PBL_dz_osob_3) %>%
filter(!is.na(NAD_DZ_DZIAL_ID)) %>%
unique()
PBL_dz_osob <- rbind(PBL_dz_osob, c("15043", "Hasła osobowe(luksemburska)","15043", "Hasła osobowe(luksemburska)"), c("430", "Hasła osobowe (Ludzie teatru i filmu)","430", "Hasła osobowe (Ludzie teatru i filmu)"))
PBL_dz_osob_bez_teatru <- PBL_dz_osob %>%
filter(DZ_DZIAL_ID!=430)
PBL_tworcy <- dbReadTable(PBL,'PBL_TWORCY')
tw_i_dz_podm <- merge(x=PBL_tworcy,y=PBL_dz_osob_bez_teatru, by.x = "TW_DZ_DZIAL_ID", by.y = "NAD_DZ_DZIAL_ID", all.x = TRUE) %>%
arrange(TW_TWORCA_ID)
tw_i_dz_podm <- data.frame(tw_i_dz_podm, pol_osob = ifelse(tw_i_dz_podm$TW_DZ_DZIAL_ID == 148 & substr(tw_i_dz_podm$TW_NAZWISKO,1,1)==str_sub(tw_i_dz_podm$DZ_NAZWA,nchar(as.character(tw_i_dz_podm$DZ_NAZWA)),nchar(as.character(tw_i_dz_podm$DZ_NAZWA))),TRUE,FALSE), pol = ifelse(tw_i_dz_podm$TW_DZ_DZIAL_ID == 148, TRUE, FALSE)) %>%
filter(pol_osob == TRUE | pol == FALSE)
PBL_tworcy_podm <- tw_i_dz_podm %>%
select(TW_TWORCA_ID, TW_NAZWISKO, TW_IMIE, DZ_DZIAL_ID, DZ_NAZWA, TW_NAZW_WLASCIWE, TW_PSEUDONIMY, TW_DATA_URODZIN, TW_DATA_ZGONU, TW_ROCZNIKI_PBL, TW_SLOWA_KLUCZOWE, TW_UWAGI, TW_ROK_URODZIN, TW_ROK_ZGONU, TW_LICZBA_ZAPISOW, TW_ADNOTACJE, TW_TRANSLITERACJE) %>%
filter(!is.na(DZ_DZIAL_ID))
colnames(PBL_tworcy_podm) <- c("TW_TWORCA_ID", "TW_NAZWISKO", "TW_IMIE", "TW_DZ_DZIAL_ID", "DZ_NAZWA", "TW_NAZW_WLASCIWE", "TW_PSEUDONIMY", "TW_DATA_URODZIN", "TW_DATA_ZGONU", "TW_ROCZNIKI_PBL", "TW_SLOWA_KLUCZOWE", "TW_UWAGI", "TW_ROK_URODZIN", "TW_ROK_ZGONU", "TW_LICZBA_ZAPISOW", "TW_ADNOTACJE", "TW_TRANSLITERACJE")
PBL_tworcy_podm <- PBL_tworcy_podm %>%
mutate(nazwa = ifelse(is.na(TW_IMIE),as.character(TW_NAZWISKO),paste(TW_NAZWISKO,TW_IMIE, sep = "")),
nazwa = str_to_lower(str_replace_all(nazwa, "\\W", "")),
nazwa = str_replace_all(str_to_lower(nazwa), "\\W", ""))
tw_i_dz <- merge(x=PBL_tworcy,y=PBL_dz_osob, by.x = "TW_DZ_DZIAL_ID", by.y = "NAD_DZ_DZIAL_ID", all.x = TRUE) %>%
arrange(TW_TWORCA_ID)
tw_i_dz <- data.frame(tw_i_dz, pol_osob = ifelse(tw_i_dz$TW_DZ_DZIAL_ID == 148 & substr(tw_i_dz$TW_NAZWISKO,1,1)==str_sub(tw_i_dz$DZ_NAZWA,nchar(as.character(tw_i_dz$DZ_NAZWA)),nchar(as.character(tw_i_dz$DZ_NAZWA))),TRUE,FALSE), pol = ifelse(tw_i_dz$TW_DZ_DZIAL_ID == 148, TRUE, FALSE)) %>%
filter(pol_osob == TRUE | pol == FALSE)
PBL_tworcy <- tw_i_dz %>%
select(TW_TWORCA_ID, TW_NAZWISKO, TW_IMIE, DZ_DZIAL_ID, DZ_NAZWA, TW_NAZW_WLASCIWE, TW_PSEUDONIMY, TW_DATA_URODZIN, TW_DATA_ZGONU, TW_ROCZNIKI_PBL, TW_SLOWA_KLUCZOWE, TW_UWAGI, TW_ROK_URODZIN, TW_ROK_ZGONU, TW_LICZBA_ZAPISOW, TW_ADNOTACJE, TW_TRANSLITERACJE)
colnames(PBL_tworcy) <- c("TW_TWORCA_ID", "TW_NAZWISKO", "TW_IMIE", "TW_DZ_DZIAL_ID", "DZ_NAZWA", "TW_NAZW_WLASCIWE", "TW_PSEUDONIMY", "TW_DATA_URODZIN", "TW_DATA_ZGONU", "TW_ROCZNIKI_PBL", "TW_SLOWA_KLUCZOWE", "TW_UWAGI", "TW_ROK_URODZIN", "TW_ROK_ZGONU", "TW_LICZBA_ZAPISOW", "TW_ADNOTACJE", "TW_TRANSLITERACJE")
PBL_tworcy <- PBL_tworcy %>%
mutate(nazwa = ifelse(is.na(TW_IMIE),as.character(TW_NAZWISKO),paste(TW_NAZWISKO,TW_IMIE, sep = "")),
nazwa = str_to_lower(str_replace_all(nazwa, "\\W", "")),
nazwa = str_replace_all(str_to_lower(nazwa), "\\W", ""),
TW_DZ_DZIAL_ID = as.numeric(TW_DZ_DZIAL_ID))
PBL_autorzy <- dbReadTable(PBL,'PBL_AUTORZY') %>%
mutate(nazwa = ifelse(is.na(AM_IMIE),as.character(AM_NAZWISKO),paste(AM_NAZWISKO,AM_IMIE, sep = "")),
nazwa = str_to_lower(str_replace_all(nazwa, "\\W", "")),
nazwa = str_replace_all(str_to_lower(nazwa), "\\W", "")) %>%
filter(nazwa != "nana")
PBL_wspoltworcy <- dbReadTable(PBL,'PBL_OSOBY') %>%
mutate(nazwa_prosta = str_replace_all(str_to_lower(ifelse(is.na(OS_IMIE),as.character(OS_NAZWISKO),paste(OS_NAZWISKO,OS_IMIE, sep = ""))), "\\W", "")) %>%
filter(nazwa_prosta !="nana")
PBL_funkcje <- sheets_read(ss = "1htn_L6REs3GdG1xSiGHIfr6MJvjmmU_kVGxiMZtCV24", sheet = "Arkusz1")Reading from 'import_pbl_funkcje'
Range "'Arkusz1'"PBL_wydawnictwa <- dbReadTable(PBL,'PBL_WYDAWNICTWA') %>%
mutate(nazwa_prosta = str_replace_all(str_to_lower(paste(WY_MIASTO, WY_NAZWA)), "\\W", "")) %>%
filter(nazwa_prosta !="nana")
PBL_rodzaje_zapisow <- dbReadTable(PBL,'PBL_RODZAJE_ZAPISOW')
BN_PBL_lista_literatur <- sheets_read(ss = "1zbwjnrtWGvbjrQTLMavJcWSu7HfP0I-USNgZ_KWiXjc", sheet = "lista ukd bn") %>%
filter(!is.na(ukd_ogolne)) %>%
select(3:9) %>%
cSplit(.,c("pbl_id","pbl_nazwa","redaktor_dzialu","pbl_id_literatury","pbl_literatura"),sep = "|",direction = "long") %>%
filter(!is.na(pbl_id))Reading from 'lista_UKD_literatury'
Range "'lista ukd bn'"PBL_hasla_osobowe <- sheets_read(ss = "1zbwjnrtWGvbjrQTLMavJcWSu7HfP0I-USNgZ_KWiXjc", sheet = "pbl_hasla_osobowe") %>%
select(2:5)Reading from 'lista_UKD_literatury'
Range "'pbl_hasla_osobowe'"
New names:
* nazwa -> nazwa...1
* nazwa -> nazwa...5colnames(PBL_hasla_osobowe) <- c("DZ_DZIAL_ID","DZ_NAZWA","redaktor_dzialu","nazwa")# połączenie zbiorów
bn_ok <- bn_ok %>%
mutate(ZA_UWAGI = paste(rok,sprintf("%05d", as.integer(ZA_UWAGI)),sep = "")) %>%
bind_rows(wspolwydania_fix)
binding character and factor vector, coercing into character vectorbinding character and factor vector, coercing into character vectorByło 50 lub więcej ostrzeżeń (użyj 'warnings()' aby zobaczyć pierwsze 50)przedmiotowa_redaktorzy <- bn_ok %>%
filter(rodzaj_ksiazki=="przedmiotowa")
###przypisanie redaktora na podstawie osoby z 600 jako tematu - książki o twórcy
#600
marc_field_600 <- przedmiotowa_redaktorzy %>%
select(ZA_UWAGI,X600)%>%
filter(X600!="") %>%
mutate(X600=str_replace_all(X600,"(^|\\|)","~\\1")) %>%
cSplit(.,"X600",sep = "~",direction = "long") %>%
filter(X600!="") %>%
mutate(X600=str_remove_all(X600,"^\\|")) %>%
mutate(indicator = str_replace_all(X600,"(^.*?)(\\$.*)","\\1"))
subfield_list<- str_extract_all(przedmiotowa_redaktorzy$X600,"\\$.")
subfield_list<- unique(unlist(subfield_list))
empty_table<- data.frame(matrix(ncol = length(subfield_list),nrow = lengths(marc_field_600)[1]))
colnames(empty_table) <-subfield_list
marc_field_600<-cbind(marc_field_600,empty_table)
subfield_list_char <- paste("(",subfield_list,")",sep = "")
subfield_list_char <- str_replace_all(subfield_list_char,"\\$","\\\\$")
x <- 1:length(subfield_list)
for (i in x) {
progress(match(i,x), max.value = length(x))
marc_field_600$X600 <- str_replace(marc_field_600$X600,subfield_list_char[i],"|\\1")
}
for (i in x) {
progress(match(i,x), max.value = length(x))
subfield_list_char2 <- str_replace_all(subfield_list,"\\$","\\\\$")
string_a <- "(^)(.*?\\|"
string_b <- subfield_list_char2[i]
string_c <- ")(.*?)(\\,{0,1})((\\|\\$)(.*)|$)"
string <- paste(string_a,string_b,string_c,sep = "")
marc_field_600[,i+3] <- ifelse(grepl(subfield_list_char2[i],marc_field_600$X600),str_replace_all(gsub(string,"\\3",marc_field_600$X600),"\\${2}.", "~"),NA)
}
marc_field_600 <- marc_field_600 %>%
select(ZA_UWAGI,`$a`,`$d`,`$c`) %>%
mutate(name = ifelse(!is.na(`$c`)&substr(`$c`,nchar(`$c`),nchar(`$c`))==";",paste(`$a`,`$c`,`$d`,sep = " "),ifelse(!is.na(`$d`),paste(`$a`,`$d`,sep = " "),as.character(`$a`)))) %>%
select(ZA_UWAGI,name) %>%
mutate(name = str_replace(name,"(\\))(\\.$)","\\1"),
name = str_replace(name, "([a-zaáàâãäăāåąæeéèêëěēėęiíìîïīįioóòôõöőøœuúùûüűūůyýcćčçdďđđgģğkķlłļnńñňņŋrřsśšşsßtťŧþţzżźž])(\\.$)","\\1"))
marc_field_600 <- marc_field_600 %>%
unique() %>%
inner_join(.,pbl_viaf,by = c("name" = "BN_name")) %>%
left_join(.,PBL_tworcy,by = c("pbl_id"="TW_TWORCA_ID")) %>%
left_join(.,redaktorzy_dzialow,by = c("TW_DZ_DZIAL_ID"="DZ_DZIAL_ID")) %>%
select(ZA_UWAGI,TW_TWORCA_ID=pbl_id,TW_NAZWISKO,TW_IMIE,TW_DZ_DZIAL_ID,DZ_NAZWA=DZ_NAZWA.x,redaktor_dzialu)
count <- as.data.frame(table(marc_field_600$ZA_UWAGI))
marc_field_600 <- merge(marc_field_600,count,by.x = "ZA_UWAGI", by.y = "Var1") %>%
filter(Freq<2) %>%
select(-Freq) %>%
rename(DZ_DZIAL_ID=TW_DZ_DZIAL_ID) %>%
mutate(RZ_RODZAJ_ID = 2,
RZ_NAZWA = "książka o twórcy (przedmiotowa)")
###przypisanie do redaktorów na podstawie literatury z pola 655
przedmiotowa_redaktorzy <- bn_ok %>%
filter(rodzaj_ksiazki=="przedmiotowa") %>%
filter(ZA_UWAGI %notin% marc_field_600$ZA_UWAGI)
#655
marc_field_655 <- przedmiotowa_redaktorzy %>%
select(ZA_UWAGI,X655)%>%
filter(X655!="") %>%
mutate(X655=str_replace_all(X655,"(^|\\|)","~\\1")) %>%
cSplit(.,"X655",sep = "~",direction = "long") %>%
filter(X655!="") %>%
mutate(X655=str_remove_all(X655,"^\\|")) %>%
mutate(indicator = str_replace_all(X655,"(^.*?)(\\$.*)","\\1"))
subfield_list<- str_extract_all(przedmiotowa_redaktorzy$X655,"\\$.")
subfield_list<- unique(unlist(subfield_list))
empty_table<- data.frame(matrix(ncol = length(subfield_list),nrow = lengths(marc_field_655)[1]))
colnames(empty_table) <-subfield_list
marc_field_655<-cbind(marc_field_655,empty_table)
subfield_list_char <- paste("(",subfield_list,")",sep = "")
subfield_list_char <- str_replace_all(subfield_list_char,"\\$","\\\\$")
x <- 1:length(subfield_list)
for (i in x) {
progress(match(i,x), max.value = length(x))
marc_field_655$X655 <- str_replace(marc_field_655$X655,subfield_list_char[i],"|\\1")
}
for (i in x) {
progress(match(i,x), max.value = length(x))
subfield_list_char2 <- str_replace_all(subfield_list,"\\$","\\\\$")
string_a <- "(^)(.*?\\|"
string_b <- subfield_list_char2[i]
string_c <- ")(.*?)(\\,{0,1})((\\|\\$)(.*)|$)"
string <- paste(string_a,string_b,string_c,sep = "")
marc_field_655[,i+3] <- ifelse(grepl(subfield_list_char2[i],marc_field_655$X655),str_replace_all(gsub(string,"\\3",marc_field_655$X655),"\\${2}.", "~"),NA)
}
marc_field_655 <- marc_field_655 %>%
select(ZA_UWAGI,`$a`) %>%
unique()
PBL_literatury_obce <- PBL_dzialy_path %>%
filter(NAD_DZ_DZIAL_ID==30) %>%
select(1,2) %>%
left_join(.,redaktorzy_dzialow,by = "DZ_DZIAL_ID") %>%
filter(!is.na(redaktor_dzialu)) %>%
select(1,DZ_NAZWA = 2,4) %>%
mutate(nazwa = substr(str_replace(DZ_NAZWA, "(.*?)( )(.*?)","\\3"),1,nchar(str_replace(DZ_NAZWA, "(.*?)( )(.*?)","\\3"))-1),
nazwa = ifelse(nazwa=="romska (cygańska","romsk|cygańsk",as.character(nazwa)))
reczne <- data.frame(DZ_DZIAL_ID = c(32,32,32,32,59,86,107,149,67,69,34,34,34,34,34,55,32,99,34),DZ_NAZWA = c("Literatura brytyjska i irlandzka","Literatura brytyjska i irlandzka","Literatura brytyjska i irlandzka","Literatura brytyjska i irlandzka","Literatura grecka starożytna","Literatura łacińska średniowieczna","Literatura syryjska","Literatura esperanto","Literatura holenderska","Literatury Indii","Literatury Afryki Subsaharyjskiej","Literatury Afryki Subsaharyjskiej","Literatury Afryki Subsaharyjskiej","Literatury Afryki Subsaharyjskiej","Literatury Afryki Subsaharyjskiej", "Literatura egipsko-arabska", "Literatura brytyjska i irlandzka","Literatura palestyńsko-arabska","Literatury Afryki Subsaharyjskiej"), redaktor_dzialu = c("BEATAK","BEATAK","BEATAK","BEATAK","BEATAS","BEATAS","BEATAD","CEZARY","TOMASZU","EWA","EWA","EWA","EWA","EWA","EWA","BEATAD","BEATAK","BEATAD","EWA"), nazwa = c("angielsk","szkock","irlandzk","walijsk","greck","łacińsk","syryjsk","esperanck","niderlandzk","indyjsk","południowoafryka","senegalsk","nigeryjsk","afrykańsk","ruandyjsk","egipsk. nowożytn","celtyck","palestyńsk","somalijsk"))
PBL_literatury_obce <- rbind(PBL_literatury_obce,reczne)
marc_field_655 <- sqldf("select *
from marc_field_655 a
left join PBL_literatury_obce b on a.`$a` like ('%'||b.nazwa||'%')") %>%
arrange(ZA_UWAGI,DZ_DZIAL_ID)
marc_field_655$same <- cumsum(!duplicated(marc_field_655[1]))
marc_field_655 <- marc_field_655[!duplicated(marc_field_655$same),] %>%
select(ZA_UWAGI,DZ_DZIAL_ID,DZ_NAZWA,redaktor_dzialu) %>%
filter(!is.na(DZ_DZIAL_ID)) %>%
mutate(TW_TWORCA_ID = NA,
TW_NAZWISKO = NA,
TW_IMIE = NA,
RZ_RODZAJ_ID = 21,
RZ_NAZWA = "książka w haśle rzeczowym") %>%
select(names(marc_field_600))
###przypisanie do redaktorów na podstawie literatury z pola 650
przedmiotowa_redaktorzy <- bn_ok %>%
filter(rodzaj_ksiazki=="przedmiotowa") %>%
filter(ZA_UWAGI %notin% marc_field_600$ZA_UWAGI) %>%
filter(ZA_UWAGI %notin% marc_field_655$ZA_UWAGI)
#650
marc_field_650 <- przedmiotowa_redaktorzy %>%
select(ZA_UWAGI,X650)%>%
filter(X650!="") %>%
mutate(X650=str_replace_all(X650,"(^|\\|)","~\\1")) %>%
cSplit(.,"X650",sep = "~",direction = "long") %>%
filter(X650!="") %>%
mutate(X650=str_remove_all(X650,"^\\|")) %>%
mutate(indicator = str_replace_all(X650,"(^.*?)(\\$.*)","\\1"))
subfield_list<- str_extract_all(przedmiotowa_redaktorzy$X650,"\\$.")
subfield_list<- unique(unlist(subfield_list))
empty_table<- data.frame(matrix(ncol = length(subfield_list),nrow = lengths(marc_field_650)[1]))
colnames(empty_table) <-subfield_list
marc_field_650<-cbind(marc_field_650,empty_table)
subfield_list_char <- paste("(",subfield_list,")",sep = "")
subfield_list_char <- str_replace_all(subfield_list_char,"\\$","\\\\$")
x <- 1:length(subfield_list)
for (i in x) {
progress(match(i,x), max.value = length(x))
marc_field_650$X650 <- str_replace(marc_field_650$X650,subfield_list_char[i],"|\\1")
}
for (i in x) {
progress(match(i,x), max.value = length(x))
subfield_list_char2 <- str_replace_all(subfield_list,"\\$","\\\\$")
string_a <- "(^)(.*?\\|"
string_b <- subfield_list_char2[i]
string_c <- ")(.*?)(\\,{0,1})((\\|\\$)(.*)|$)"
string <- paste(string_a,string_b,string_c,sep = "")
marc_field_650[,i+3] <- ifelse(grepl(subfield_list_char2[i],marc_field_650$X650),str_replace_all(gsub(string,"\\3",marc_field_650$X650),"\\${2}.", "~"),NA)
}
marc_field_650 <- marc_field_650 %>%
select(ZA_UWAGI,`$a`) %>%
unique()
marc_field_650 <- sqldf("select *
from marc_field_650 a
left join PBL_literatury_obce b on a.`$a` like ('%'||b.nazwa||'%')") %>%
arrange(ZA_UWAGI,DZ_DZIAL_ID)
marc_field_650$same <- cumsum(!duplicated(marc_field_650[1]))
marc_field_650 <- marc_field_650[!duplicated(marc_field_650$same),] %>%
select(ZA_UWAGI,DZ_DZIAL_ID,DZ_NAZWA,redaktor_dzialu) %>%
filter(!is.na(DZ_DZIAL_ID)) %>%
mutate(TW_TWORCA_ID = NA,
TW_NAZWISKO = NA,
TW_IMIE = NA,
RZ_RODZAJ_ID = 21,
RZ_NAZWA = "książka w haśle rzeczowym") %>%
select(names(marc_field_600))
do_przedmiotowej1 <- rbind(marc_field_600,marc_field_655,marc_field_650)
#przypisanie na podstawie deskryptorów tematycznych z 650 i 655
zapisy <- RJDBC::dbGetQuery(PBL,
"select z.za_zapis_id, dz.dz_dzial_id, dz.dz_nazwa, rz.rz_rodzaj_id, rz.rz_nazwa, z.za_status_imp, z.za_uwagi
from pbl_zapisy z
join pbl_dzialy dz on dz.dz_dzial_id=z.za_dz_dzial1_id
join pbl_rodzaje_zapisow rz on rz.rz_rodzaj_id=z.za_rz_rodzaj1_id
where z.za_uwagi like '%import%'") %>%
mutate(pracownik_pbl = str_extract(ZA_UWAGI, "(?<=akceptuje:)([A-Z]*)")) %>%
select(-ZA_UWAGI)
nazwy_lit_obcych <- str_replace_all(paste(PBL_literatury_obce$nazwa,collapse = "|"),"\\(","\\\\(")
#aktualizacja - dodaj do skryptu listę z ostatnim brakującym zaimportowanym rocznikiem
poprzednie_importy <- rbind(listy_2004,listy_2005,listy_2006,listy_2007,listy_2008) %>%
full_join(.,zapisy,by = "ZA_ZAPIS_ID") %>%
select(ZA_ZAPIS_ID,X650,X655,DZ_DZIAL_ID,DZ_NAZWA,RZ_RODZAJ_ID,RZ_NAZWA,pracownik_pbl,ZA_STATUS_IMP) %>%
mutate(X650 = str_remove_all(X650,"\\\\7"),
X655 = str_remove_all(X655,"\\\\7"),
X650 = str_remove_all(str_replace_all(X650,"(\\$a)","\\\\#7\\1"),"#"),
X655 = str_remove_all(str_replace_all(X655,"(\\$a)","\\\\#7\\1"),"#")) %>%
unique() %>%
filter(RZ_RODZAJ_ID %notin% c(0,1,2,250,764)) %>%
arrange(pracownik_pbl,DZ_DZIAL_ID) %>%
filter(!grepl(nazwy_lit_obcych,X650)&!grepl(nazwy_lit_obcych,X655)) %>%
filter(!is.na(pracownik_pbl)) %>%
filter(ZA_STATUS_IMP %in% c("IOK","IPC"))
#przypisanie na podstawie częstotliwości deskryptorów 655
przedmiotowa_redaktorzy <- bn_ok %>%
filter(rodzaj_ksiazki=="przedmiotowa") %>%
filter(ZA_UWAGI %notin% do_przedmiotowej1$ZA_UWAGI)
deskryptory655 <- poprzednie_importy %>%
select(X655,pracownik_pbl,DZ_DZIAL_ID,DZ_NAZWA) %>%
filter(!is.na(X655)) %>%
unite(data=.,col = "deskryptor655", sep = "~")
deskryptory655 <- as.data.frame(table(deskryptory655$deskryptor655)) %>%
cSplit(.,"Var1",sep = "~",direction = "wide") %>%
rename(X655 = Var1_1,
redaktor_dzialu = Var1_2,
DZ_DZIAL_ID = Var1_3,
DZ_NAZWA = Var1_4) %>%
mutate(X655 = str_remove_all(X655,"\\\\7\\$a"),
X655 = str_remove_all(X655,"\\$2DBN"),
X655 = str_replace_all(X655,"\\$.|\\|"," "),
X655 = str_replace_all(X655," ",".*")) %>%
arrange(X655,-Freq,DZ_NAZWA)
deskryptory655$id_grupy <- cumsum(!duplicated(deskryptory655[2]))
deskryptory655 <- deskryptory655[!duplicated(deskryptory655$id_grupy),] %>%
select(-id_grupy) %>%
arrange(-Freq)
x <- 1:length(deskryptory655$X655)
test <- data.frame(stringsAsFactors = FALSE)
for (i in x) {
progress(match(i,x), max.value = length(x))
do_przedmiotowej2 <- przedmiotowa_redaktorzy %>%
mutate(redaktor_dzialu = ifelse(grepl(deskryptory655$X655[i],X655),as.character(deskryptory655$redaktor_dzialu)[i],NA),
ile = ifelse(grepl(deskryptory655$X655[i],X655),as.integer(deskryptory655$Freq)[i],NA),
co = ifelse(grepl(deskryptory655$X655[i],X655),as.character(deskryptory655$X655)[i],NA),
DZ_DZIAL_ID = ifelse(grepl(deskryptory655$X655[i],X655),as.integer(deskryptory655$DZ_DZIAL_ID)[i],NA),
DZ_NAZWA = ifelse(grepl(deskryptory655$X655[i],X655),as.character(deskryptory655$DZ_NAZWA)[i],NA)) %>%
filter(!is.na(redaktor_dzialu))
if (length(do_przedmiotowej2$redaktor_dzialu)>0) {
test <- rbind(test,do_przedmiotowej2)
} else {}
}
count <- as.data.frame(table(test$ZA_UWAGI))
do_przedmiotowej2 <- merge(test,count, by.x = "ZA_UWAGI",by.y = "Var1") %>%
mutate(dlugosc = nchar(co)) %>%
arrange(-Freq,ZA_UWAGI,-dlugosc,-ile)
do_przedmiotowej2$id_grupy <- cumsum(!duplicated(do_przedmiotowej2[1]))
do_przedmiotowej2 <- do_przedmiotowej2[!duplicated(do_przedmiotowej2$id_grupy),] %>%
mutate(TW_TWORCA_ID = NA,
TW_NAZWISKO = NA,
TW_IMIE = NA,
RZ_RODZAJ_ID = 21,
RZ_NAZWA = "książka w haśle rzeczowym") %>%
select(names(do_przedmiotowej1))
#przypisanie na podstawie częstotliwości deskryptorów 650
przedmiotowa_redaktorzy <- bn_ok %>%
filter(rodzaj_ksiazki=="przedmiotowa") %>%
filter(ZA_UWAGI %notin% do_przedmiotowej1$ZA_UWAGI) %>%
filter(ZA_UWAGI %notin% do_przedmiotowej2$ZA_UWAGI)
deskryptory650 <- poprzednie_importy %>%
select(X650,pracownik_pbl,DZ_DZIAL_ID,DZ_NAZWA) %>%
filter(!is.na(X650)) %>%
unite(data=.,col = "deskryptor650", sep = "~")
deskryptory650 <- as.data.frame(table(deskryptory650$deskryptor650)) %>%
cSplit(.,"Var1",sep = "~",direction = "wide") %>%
rename(X650 = Var1_1,
redaktor_dzialu = Var1_2,
DZ_DZIAL_ID = Var1_3,
DZ_NAZWA = Var1_4) %>%
mutate(X650 = str_remove_all(X650,"\\\\7\\$a"),
X650 = str_remove_all(X650,"\\$2DBN"),
X650 = str_remove_all(X650,"\\\\\\\\"),
X650 = str_replace_all(X650,"\\$.|\\|"," "),
X650 = str_replace_all(X650," ",".*")) %>%
arrange(X650,-Freq,DZ_NAZWA)
deskryptory650$id_grupy <- cumsum(!duplicated(deskryptory650[2]))
deskryptory650 <- deskryptory650[!duplicated(deskryptory650$id_grupy),] %>%
select(-id_grupy) %>%
arrange(-Freq)
x <- 1:length(deskryptory650$X650)
test <- data.frame(stringsAsFactors = FALSE)
for (i in x) {
progress(match(i,x), max.value = length(x))
do_przedmiotowej3 <- przedmiotowa_redaktorzy %>%
mutate(redaktor_dzialu = ifelse(grepl(deskryptory650$X650[i],X650),as.character(deskryptory650$redaktor_dzialu)[i],NA),
ile = ifelse(grepl(deskryptory650$X650[i],X650),as.integer(deskryptory650$Freq)[i],NA),
co = ifelse(grepl(deskryptory650$X650[i],X650),as.character(deskryptory650$X650)[i],NA),
DZ_DZIAL_ID = ifelse(grepl(deskryptory650$X650[i],X650),as.integer(deskryptory650$DZ_DZIAL_ID)[i],NA),
DZ_NAZWA = ifelse(grepl(deskryptory650$X650[i],X650),as.character(deskryptory650$DZ_NAZWA)[i],NA)) %>%
filter(!is.na(redaktor_dzialu))
if (length(do_przedmiotowej3$redaktor_dzialu)>0) {
test <- rbind(test,do_przedmiotowej3)
} else {}
}
count <- as.data.frame(table(test$ZA_UWAGI))
do_przedmiotowej3 <- merge(test,count, by.x = "ZA_UWAGI",by.y = "Var1") %>%
mutate(dlugosc = nchar(co)) %>%
arrange(-Freq,ZA_UWAGI,-dlugosc,-ile)
do_przedmiotowej3$id_grupy <- cumsum(!duplicated(do_przedmiotowej3[1]))
do_przedmiotowej3 <- do_przedmiotowej3[!duplicated(do_przedmiotowej3$id_grupy),] %>%
mutate(TW_TWORCA_ID = NA,
TW_NAZWISKO = NA,
TW_IMIE = NA,
RZ_RODZAJ_ID = 21,
RZ_NAZWA = "książka w haśle rzeczowym") %>%
select(names(do_przedmiotowej1))
do_przedmiotowej <- rbind(do_przedmiotowej1,do_przedmiotowej2,do_przedmiotowej3)
#przypisanie przedmiotowej na podstawie słownika pojęć
do_przedmiotowej <- bn_ok %>%
filter(rodzaj_ksiazki=="przedmiotowa") %>%
left_join(.,do_przedmiotowej,by="ZA_UWAGI") %>%
#przypisanie na podstawie zdefiniowanych słów (dopisanie do gotowego pliku)
mutate(redaktor_dzialu = ifelse(is.na(redaktor_dzialu),
ifelse(grepl("teatr",X655,ignore.case = TRUE)|grepl("teatr",X650,ignore.case = TRUE),"MARTAK",
ifelse(grepl("film",X655,ignore.case = TRUE)|grepl("film",X650,ignore.case = TRUE),"OLA",
ifelse(grepl("telewizj",X655,ignore.case = TRUE)|grepl("telewizj",X650,ignore.case = TRUE),"EWA",
ifelse(grepl("radio",X655,ignore.case = TRUE)|grepl("radio",X650,ignore.case = TRUE),"EWA",
ifelse(grepl("czasopism",X655,ignore.case = TRUE)|grepl("czasopism",X650,ignore.case = TRUE),"TOMASZ",
ifelse(grepl("wydawnictw",X655,ignore.case = TRUE)|grepl("wydawnictw",X650,ignore.case = TRUE),"BARBARAW",
ifelse(grepl("od 1989",X655,ignore.case = TRUE)|grepl("od 1989",X650,ignore.case = TRUE),"PAULINA",
ifelse(grepl("ćwicze|zadan|szkoł|szkół|scenariusz zajęć|scenariusze zajęć|zajęć|pomocnicz|podręcznik",X655,ignore.case = TRUE)|grepl("ćwicze|zadan|szkoł|szkół|scenariusz zajęć|scenariusze zajęć|zajęć|pomocnicz|podręcznik",X650,ignore.case = TRUE),"KAROLINA",
ifelse(grepl("sceniczn",X655,ignore.case = TRUE)|grepl("sceniczn",X650,ignore.case = TRUE),"MARTAK",
ifelse(grepl("teoria|socjologia|antropologia|metafizyk|interpretac|filozof",X655,ignore.case = TRUE)|grepl("teoria|socjologia|antropologia|metafizyk|interpretac|filozof",X650,ignore.case = TRUE),"PAULINA",
ifelse(grepl("ludow|zwycz|obycz|folkl",X655,ignore.case = TRUE)|grepl("ludow|zwycz|obycz|folkl",X650,ignore.case = TRUE),"ANIA",
ifelse(grepl("katolic|biblia|biblij|kościół",X655,ignore.case = TRUE)|grepl("katolic|biblia|biblij|kościół",X650,ignore.case = TRUE),"BEATAS",
ifelse(grepl("druk|rękopi|inkunab|inwent|bibliogr|słownik|bibliotek",X655,ignore.case = TRUE)|grepl("druk|rękopi|inkunab|inwent|bibliogr|słownik|bibliotek",X650,ignore.case = TRUE),"IZA",
ifelse(grepl("zabawk|dziec",X655,ignore.case = TRUE)|grepl("zabawk|dziec",X650,ignore.case = TRUE),"BARBARAW",
ifelse(grepl("tematyka|20-21 w.|21 w.",X655,ignore.case = TRUE)|grepl("tematyka|20-21 w.|21 w.",X650,ignore.case = TRUE),"PAULINA",
ifelse(grepl("19|18|17|16|15|14|13",X655,ignore.case = TRUE)|grepl("19|18|17|16|15|14|13",X650,ignore.case = TRUE),"GOSIA",
ifelse(grepl("polityk",X655,X655,ignore.case = TRUE)|grepl("polityk",X650,X655,ignore.case = TRUE),"PAULINA",
ifelse(grepl("historia",X655,X655,ignore.case = TRUE)|grepl("historia",X650,X655,ignore.case = TRUE),"GOSIA",NA)))))))))))))))))),as.character(redaktor_dzialu)),
RZ_RODZAJ_ID = ifelse(is.na(RZ_RODZAJ_ID),21,as.integer(RZ_RODZAJ_ID)),
RZ_NAZWA = ifelse(is.na(RZ_NAZWA),"książka w haśle rzeczowym",as.character(RZ_NAZWA))) %>%
select(names(do_przedmiotowej1)) %>%
filter(!is.na(redaktor_dzialu))
#wydobycie zbioru, który ciągle nie ma przypisanych redaktorów do przedmiotowej
przedmiotowa_redaktorzy <- bn_ok %>%
filter(rodzaj_ksiazki=="przedmiotowa") %>%
filter(ZA_UWAGI %notin% do_przedmiotowej$ZA_UWAGI)
#dla książek, które mają kilku autorów w osoba_bn_temat - przypisanie do redaktora powszechnej - BEATAD?
do_przedmiotowej4 <- przedmiotowa_redaktorzy %>%
filter(!is.na(osoba_bn_temat)) %>%
mutate(TW_TWORCA_ID = NA,
TW_NAZWISKO = NA,
TW_IMIE = NA,
DZ_DZIAL_ID = NA,
DZ_NAZWA = NA,
RZ_RODZAJ_ID = 21,
RZ_NAZWA = "książka w haśle rzeczowym",
redaktor_dzialu = "BEATAD") %>%
select(names(do_przedmiotowej1))
#dla książek, które nie mają wypełnionego osoba_bn_autor - przypisanie do Marty z x? czy losowo do kogoś?
do_przedmiotowej5 <- przedmiotowa_redaktorzy %>%
filter(is.na(osoba_bn_autor)) %>%
mutate(TW_TWORCA_ID = NA,
TW_NAZWISKO = NA,
TW_IMIE = NA,
DZ_DZIAL_ID = NA,
DZ_NAZWA = NA,
RZ_RODZAJ_ID = 21,
RZ_NAZWA = "książka w haśle rzeczowym",
redaktor_dzialu = "MARTAKx") %>%
select(names(do_przedmiotowej1))
#połaczenie wszystkich przedmiotowych z przypisanymi redaktorami w jeden plik
do_przedmiotowej <- rbind(do_przedmiotowej,do_przedmiotowej4,do_przedmiotowej5)
#dla książek, które mają wypełnione osoba_bn_autor - zmiana na podmiotową do ręcznego przejrzenia i przypisanie redaktorów
###przypisanie do podmiotowej!!!!!!!!!!!!!!!!!!!###############
do_podmiotowej1 <- przedmiotowa_redaktorzy %>%
filter(!is.na(osoba_bn_autor))
#trzeba zaktualizować w bn_ok, że teraz to są podmiotowe
#lista rekordów do przepisania z przedmiotowej na podmiotową
lista_do_przepisania <- do_podmiotowej1$ZA_UWAGI
bn_ok$rodzaj_ksiazki[bn_ok$ZA_UWAGI %in% lista_do_przepisania] <- "podmiotowa"
#to, co było podmiotową bez autora powinno trafić do literatury anonimowej z pracownikiem przedm, więc teraz trzeba to przepisać do przedmiotowej - na końcu procesu
podmiotowa_redaktorzy <- bn_ok %>%
filter(rodzaj_ksiazki=="podmiotowa"&X100=="")
#przypisanie literatury anonimowej
#655
marc_field_655 <- podmiotowa_redaktorzy %>%
select(ZA_UWAGI,X655)%>%
filter(X655!="") %>%
mutate(X655=str_replace_all(X655,"(^|\\|)","~\\1")) %>%
cSplit(.,"X655",sep = "~",direction = "long") %>%
filter(X655!="") %>%
mutate(X655=str_remove_all(X655,"^\\|")) %>%
mutate(indicator = str_replace_all(X655,"(^.*?)(\\$.*)","\\1"))
subfield_list<- str_extract_all(podmiotowa_redaktorzy$X655,"\\$.")
subfield_list<- unique(unlist(subfield_list))
empty_table<- data.frame(matrix(ncol = length(subfield_list),nrow = lengths(marc_field_655)[1]))
colnames(empty_table) <-subfield_list
marc_field_655<-cbind(marc_field_655,empty_table)
subfield_list_char <- paste("(",subfield_list,")",sep = "")
subfield_list_char <- str_replace_all(subfield_list_char,"\\$","\\\\$")
x <- 1:length(subfield_list)
for (i in x) {
progress(match(i,x), max.value = length(x))
marc_field_655$X655 <- str_replace(marc_field_655$X655,subfield_list_char[i],"|\\1")
}
for (i in x) {
progress(match(i,x), max.value = length(x))
subfield_list_char2 <- str_replace_all(subfield_list,"\\$","\\\\$")
string_a <- "(^)(.*?\\|"
string_b <- subfield_list_char2[i]
string_c <- ")(.*?)(\\,{0,1})((\\|\\$)(.*)|$)"
string <- paste(string_a,string_b,string_c,sep = "")
marc_field_655[,i+3] <- ifelse(grepl(subfield_list_char2[i],marc_field_655$X655),str_replace_all(gsub(string,"\\3",marc_field_655$X655),"\\${2}.", "~"),NA)
}
marc_field_655 <- marc_field_655 %>%
select(ZA_UWAGI,`$a`) %>%
unique()
trim <- function (x) gsub("^\\s+|\\s+$", "", x)
PBL_literatury_anonimowe <- PBL_dzialy_path %>%
filter(grepl("Utwory anonim",DZ_NAZWA)) %>%
select(DZ_DZIAL_ID,DZ_NAZWA,NAD_NAD_DZ_DZIAL_ID) %>%
left_join(.,redaktorzy_dzialow,by = c("NAD_NAD_DZ_DZIAL_ID"="DZ_DZIAL_ID")) %>%
select(1,DZ_NAZWA = 2,5) %>%
filter(DZ_DZIAL_ID %notin% c(1922,1983)) %>%
group_by(DZ_DZIAL_ID) %>%
mutate(nazwa = paste(trim(unlist(str_extract_all(DZ_NAZWA,"(?<=\\()(.*?)(?=\\(|\\))"))),collapse = "|"),
nazwa = str_remove_all(nazwa,"(.)(?=\\||$)"),
nazwa = str_remove(nazwa,"literatur. "),
nazwa = ifelse(nazwa=="","polsk",as.character(nazwa)),
redaktor_dzialu = ifelse(is.na(redaktor_dzialu),"ANIA",as.character(redaktor_dzialu))) %>%
ungroup()
reczne <- data.frame(DZ_DZIAL_ID = c(899,694,694,1174,145,1220),DZ_NAZWA = c("Utwory anonimowe (Indii)","Utwory anonimowe (brytyjska i irlandzka)","Utwory anonimowe (brytyjska i irlandzka)","Utwory anonimowe (starosłowiańska)","Utwory anonimowe i ulotne","Utwory anonimowe (turecka)"), redaktor_dzialu = c("EWA","BEATAK","BEATAK","BEATAD","ANIA","EWA"), nazwa = c("indyjsk","walijsk","angielsk","starorusk","kaszubsk","nogajsk"))
PBL_literatury_anonimowe <- rbind(PBL_literatury_anonimowe,reczne)
marc_field_655 <- sqldf("select *
from marc_field_655 a
left join PBL_literatury_anonimowe b on a.`$a` like ('%'||b.nazwa||'%')") %>%
arrange(ZA_UWAGI,DZ_DZIAL_ID)
marc_field_655$same <- cumsum(!duplicated(marc_field_655[1]))
marc_field_655 <- marc_field_655[!duplicated(marc_field_655$same),] %>%
select(ZA_UWAGI,DZ_DZIAL_ID,DZ_NAZWA,redaktor_dzialu) %>%
filter(!is.na(DZ_DZIAL_ID)) %>%
mutate(TW_TWORCA_ID = NA,
TW_NAZWISKO = NA,
TW_IMIE = NA,
RZ_RODZAJ_ID = 21,
RZ_NAZWA = "książka w haśle rzeczowym") %>%
select(names(marc_field_600))
###przypisanie do redaktorów literatury anonimowej na podstawie literatury z pola 650
podmiotowa_redaktorzy <- bn_ok %>%
filter(rodzaj_ksiazki=="podmiotowa"&X100=="") %>%
filter(ZA_UWAGI %notin% marc_field_655$ZA_UWAGI)
#650
marc_field_650 <- podmiotowa_redaktorzy %>%
select(ZA_UWAGI,X650)%>%
filter(X650!="") %>%
mutate(X650=str_replace_all(X650,"(^|\\|)","~\\1")) %>%
cSplit(.,"X650",sep = "~",direction = "long") %>%
filter(X650!="") %>%
mutate(X650=str_remove_all(X650,"^\\|")) %>%
mutate(indicator = str_replace_all(X650,"(^.*?)(\\$.*)","\\1"))
subfield_list<- str_extract_all(podmiotowa_redaktorzy$X650,"\\$.")
subfield_list<- unique(unlist(subfield_list))
empty_table<- data.frame(matrix(ncol = length(subfield_list),nrow = lengths(marc_field_650)[1]))
colnames(empty_table) <-subfield_list
marc_field_650<-cbind(marc_field_650,empty_table)
subfield_list_char <- paste("(",subfield_list,")",sep = "")
subfield_list_char <- str_replace_all(subfield_list_char,"\\$","\\\\$")
x <- 1:length(subfield_list)
for (i in x) {
progress(match(i,x), max.value = length(x))
marc_field_650$X650 <- str_replace(marc_field_650$X650,subfield_list_char[i],"|\\1")
}
for (i in x) {
progress(match(i,x), max.value = length(x))
subfield_list_char2 <- str_replace_all(subfield_list,"\\$","\\\\$")
string_a <- "(^)(.*?\\|"
string_b <- subfield_list_char2[i]
string_c <- ")(.*?)(\\,{0,1})((\\|\\$)(.*)|$)"
string <- paste(string_a,string_b,string_c,sep = "")
marc_field_650[,i+3] <- ifelse(grepl(subfield_list_char2[i],marc_field_650$X650),str_replace_all(gsub(string,"\\3",marc_field_650$X650),"\\${2}.", "~"),NA)
}
marc_field_650 <- marc_field_650 %>%
select(ZA_UWAGI,`$a`) %>%
unique()
marc_field_650 <- sqldf("select *
from marc_field_650 a
left join PBL_literatury_anonimowe b on a.`$a` like ('%'||b.nazwa||'%')") %>%
arrange(ZA_UWAGI,DZ_DZIAL_ID)
marc_field_650$same <- cumsum(!duplicated(marc_field_650[1]))
marc_field_650 <- marc_field_650[!duplicated(marc_field_650$same),] %>%
select(ZA_UWAGI,DZ_DZIAL_ID,DZ_NAZWA,redaktor_dzialu) %>%
filter(!is.na(DZ_DZIAL_ID)) %>%
mutate(TW_TWORCA_ID = NA,
TW_NAZWISKO = NA,
TW_IMIE = NA,
RZ_RODZAJ_ID = 21,
RZ_NAZWA = "książka w haśle rzeczowym") %>%
select(names(marc_field_600))
do_podmiotowej1 <- rbind(marc_field_655,marc_field_650)
#co zrobić z pozostałymi podmiotowymi anonimowymi, których nie udało się przypisać?
podmiotowa_redaktorzy <- bn_ok %>%
filter(rodzaj_ksiazki=="podmiotowa"&X100=="") %>%
filter(ZA_UWAGI %notin% do_podmiotowej1$ZA_UWAGI) %>%
mutate(TW_TWORCA_ID = NA,
TW_NAZWISKO = NA,
TW_IMIE = NA,
DZ_DZIAL_ID = NA,
DZ_NAZWA = NA,
RZ_RODZAJ_ID = 21,
RZ_NAZWA = "książka w haśle rzeczowym",
redaktor_dzialu = "KAROLINA") %>%
select(names(do_przedmiotowej1))
do_podmiotowej1 <- rbind(do_podmiotowej1,podmiotowa_redaktorzy)
#lista rekordów do przepisania z podmiotowej na przedmiotową (chodzi o literaturę anonimową)
lista_do_przepisania <- do_podmiotowej1$ZA_UWAGI
bn_ok$rodzaj_ksiazki[bn_ok$ZA_UWAGI %in% lista_do_przepisania] <- "przedmiotowa"
#przetworzenie całej podmiotowej (bo plik do_podmiotowej1 już jest w środku)
###przypisanie redaktora na podstawie osoby z 100 jako twórcy (autora) (tabela pbl-bn-viaf)- książki twórcy
#100
podmiotowa_redaktorzy <- bn_ok %>%
filter(rodzaj_ksiazki=="podmiotowa") %>%
filter(ZA_UWAGI %notin% do_podmiotowej1$ZA_UWAGI)
marc_field_100 <- podmiotowa_redaktorzy %>%
select(ZA_UWAGI,X100)%>%
filter(X100!="") %>%
mutate(X100=str_replace_all(X100,"(^|\\|)","~\\1")) %>%
cSplit(.,"X100",sep = "~",direction = "long") %>%
filter(X100!="") %>%
mutate(X100=str_remove_all(X100,"^\\|")) %>%
mutate(indicator = str_replace_all(X100,"(^.*?)(\\$.*)","\\1"))
subfield_list<- str_extract_all(podmiotowa_redaktorzy$X100,"\\$.")
subfield_list<- unique(unlist(subfield_list))
empty_table<- data.frame(matrix(ncol = length(subfield_list),nrow = lengths(marc_field_100)[1]))
colnames(empty_table) <-subfield_list
marc_field_100<-cbind(marc_field_100,empty_table)
subfield_list_char <- paste("(",subfield_list,")",sep = "")
subfield_list_char <- str_replace_all(subfield_list_char,"\\$","\\\\$")
x <- 1:length(subfield_list)
for (i in x) {
progress(match(i,x), max.value = length(x))
marc_field_100$X100 <- str_replace(marc_field_100$X100,subfield_list_char[i],"|\\1")
}
for (i in x) {
progress(match(i,x), max.value = length(x))
subfield_list_char2 <- str_replace_all(subfield_list,"\\$","\\\\$")
string_a <- "(^)(.*?\\|"
string_b <- subfield_list_char2[i]
string_c <- ")(.*?)(\\,{0,1})((\\|\\$)(.*)|$)"
string <- paste(string_a,string_b,string_c,sep = "")
marc_field_100[,i+3] <- ifelse(grepl(subfield_list_char2[i],marc_field_100$X100),str_replace_all(gsub(string,"\\3",marc_field_100$X100),"\\${2}.", "~"),NA)
}
marc_field_100 <- marc_field_100 %>%
select(ZA_UWAGI,`$a`,`$d`,`$c`) %>%
mutate(name = ifelse(!is.na(`$c`)&substr(`$c`,nchar(`$c`),nchar(`$c`))==";",paste(`$a`,`$c`,`$d`,sep = " "),ifelse(!is.na(`$d`),paste(`$a`,`$d`,sep = " "),as.character(`$a`)))) %>%
select(ZA_UWAGI,name) %>%
mutate(name = str_replace(name,"(\\))(\\.$)","\\1"),
name = str_replace(name, "([a-zaáàâãäăāåąæeéèêëěēėęiíìîïīįioóòôõöőøœuúùûüűūůyýcćčçdďđđgģğkķlłļnńñňņŋrřsśšşsßtťŧþţzżźž])(\\.$)","\\1")) %>%
group_by(ZA_UWAGI) %>%
mutate(name = paste(name,collapse = "|")) %>%
ungroup() %>%
unique()
do_podmiotowej2 <- marc_field_100 %>%
unique() %>%
inner_join(.,pbl_viaf,by = c("name" = "BN_name")) %>%
left_join(.,PBL_tworcy,by = c("pbl_id"="TW_TWORCA_ID")) %>%
left_join(.,redaktorzy_dzialow,by = c("TW_DZ_DZIAL_ID"="DZ_DZIAL_ID")) %>%
select(ZA_UWAGI,TW_TWORCA_ID=pbl_id,TW_NAZWISKO,TW_IMIE,DZ_DZIAL_ID=TW_DZ_DZIAL_ID,DZ_NAZWA=DZ_NAZWA.x,redaktor_dzialu) %>%
mutate(RZ_RODZAJ_ID = 1,
RZ_NAZWA = "książka twórcy (podmiotowa)") %>%
unique()
###przypisanie redaktora na podstawie zbieżności fraz nazewnictwa osoby z 100 z twórcą pbl (dla tych, które nie zostały zmapowane na linii pbl-bn) - książki twórcy
podmiotowa_redaktorzy <- bn_ok %>%
filter(rodzaj_ksiazki=="podmiotowa") %>%
filter(ZA_UWAGI %notin% do_podmiotowej1$ZA_UWAGI) %>%
filter(ZA_UWAGI %notin% do_podmiotowej2$ZA_UWAGI)
#100
marc_field_100 <- podmiotowa_redaktorzy %>%
select(ZA_UWAGI,X100)%>%
filter(X100!="") %>%
mutate(X100=str_replace_all(X100,"(^|\\|)","~\\1")) %>%
cSplit(.,"X100",sep = "~",direction = "long") %>%
filter(X100!="") %>%
mutate(X100=str_remove_all(X100,"^\\|")) %>%
mutate(indicator = str_replace_all(X100,"(^.*?)(\\$.*)","\\1"))
subfield_list<- str_extract_all(podmiotowa_redaktorzy$X100,"\\$.")
subfield_list<- unique(unlist(subfield_list))
empty_table<- data.frame(matrix(ncol = length(subfield_list),nrow = lengths(marc_field_100)[1]))
colnames(empty_table) <-subfield_list
marc_field_100<-cbind(marc_field_100,empty_table)
subfield_list_char <- paste("(",subfield_list,")",sep = "")
subfield_list_char <- str_replace_all(subfield_list_char,"\\$","\\\\$")
x <- 1:length(subfield_list)
for (i in x) {
progress(match(i,x), max.value = length(x))
marc_field_100$X100 <- str_replace(marc_field_100$X100,subfield_list_char[i],"|\\1")
}
for (i in x) {
progress(match(i,x), max.value = length(x))
subfield_list_char2 <- str_replace_all(subfield_list,"\\$","\\\\$")
string_a <- "(^)(.*?\\|"
string_b <- subfield_list_char2[i]
string_c <- ")(.*?)(\\,{0,1})((\\|\\$)(.*)|$)"
string <- paste(string_a,string_b,string_c,sep = "")
marc_field_100[,i+3] <- ifelse(grepl(subfield_list_char2[i],marc_field_100$X100),str_replace_all(gsub(string,"\\3",marc_field_100$X100),"\\${2}.", "~"),NA)
}
do_podmiotowej3 <- marc_field_100 %>%
select(ZA_UWAGI,`$a`) %>%
unique() %>%
mutate(`$a` = str_remove(`$a`,"(?<=[a-zaáàâãäăāåąæeéèêëěēėęiíìîïīįioóòôõöőøœuúùûüűūůyýcćčçdďđđgģğkķlłļnńñňņŋrřsśšşsßtťŧþţzżźž])(\\.$)")) %>%
group_by(ZA_UWAGI) %>%
mutate(`$a` = paste(`$a`,collapse = "|")) %>%
ungroup() %>%
unique() %>%
mutate(TW_NAZWISKO = ifelse(grepl("\\|",`$a`), str_replace_all(str_remove_all(`$a`,","),"\\|",", "),
ifelse(grepl(",",`$a`),str_replace_all(`$a`,"(.*?)(, )(.*)","\\1"),as.character(`$a`))),
TW_IMIE = ifelse(grepl("\\|",`$a`),"*",
ifelse(grepl(",",`$a`),str_replace_all(`$a`,"(.*?)(, )(.*)","\\3"),"*")),
nazwa = str_replace_all(str_to_lower(paste(TW_NAZWISKO,TW_IMIE,sep = "")), "\\W", "")) %>%
select(ZA_UWAGI,TW_NAZWISKO,TW_IMIE,nazwa) %>%
inner_join(.,PBL_tworcy_podm %>% select(TW_TWORCA_ID,DZ_DZIAL_ID=TW_DZ_DZIAL_ID,DZ_NAZWA,nazwa),by="nazwa")
do_podmiotowej3$same <- cumsum(!duplicated(do_podmiotowej3[1:4]))
do_podmiotowej3 <- do_podmiotowej3 %>%
arrange(ZA_UWAGI,TW_NAZWISKO,TW_IMIE,nazwa,TW_TWORCA_ID)
do_podmiotowej3 <- do_podmiotowej3[!duplicated(do_podmiotowej3$same),] %>%
mutate(DZ_DZIAL_ID = as.integer(DZ_DZIAL_ID),
RZ_RODZAJ_ID = 1,
RZ_NAZWA = "książka twórcy (podmiotowa)") %>%
inner_join(.,redaktorzy_dzialow %>% select(DZ_DZIAL_ID,redaktor_dzialu),by="DZ_DZIAL_ID") %>%
select(names(do_podmiotowej1))
###przypisanie autorów podmiotowej do literatur i przypisanie do redaktorów na podstawie kodu literatury z pola X080 i tworzenie nowych twórców na podstawie pola 100
podmiotowa_redaktorzy <- bn_ok %>%
filter(rodzaj_ksiazki=="podmiotowa") %>%
filter(ZA_UWAGI %notin% do_podmiotowej1$ZA_UWAGI) %>%
filter(ZA_UWAGI %notin% do_podmiotowej2$ZA_UWAGI) %>%
filter(ZA_UWAGI %notin% do_podmiotowej3$ZA_UWAGI)
podmiotowa_redaktorzy <- sqldf("select *
from podmiotowa_redaktorzy a
join BN_PBL_lista_literatur b on a.X080 like ('%'||b.ukd_ogolne||'%')")
###dodawanie nazewnictw nowych twórców
#100
marc_field_100 <- podmiotowa_redaktorzy %>%
select(ZA_UWAGI,X100)%>%
filter(X100!="") %>%
mutate(X100=str_replace_all(X100,"(^|\\|)","~\\1")) %>%
cSplit(.,"X100",sep = "~",direction = "long") %>%
filter(X100!="") %>%
mutate(X100=str_remove_all(X100,"^\\|")) %>%
mutate(indicator = str_replace_all(X100,"(^.*?)(\\$.*)","\\1"))
subfield_list<- str_extract_all(podmiotowa_redaktorzy$X100,"\\$.")
subfield_list<- unique(unlist(subfield_list))
empty_table<- data.frame(matrix(ncol = length(subfield_list),nrow = lengths(marc_field_100)[1]))
colnames(empty_table) <-subfield_list
marc_field_100<-cbind(marc_field_100,empty_table)
subfield_list_char <- paste("(",subfield_list,")",sep = "")
subfield_list_char <- str_replace_all(subfield_list_char,"\\$","\\\\$")
x <- 1:length(subfield_list)
for (i in x) {
progress(match(i,x), max.value = length(x))
marc_field_100$X100 <- str_replace(marc_field_100$X100,subfield_list_char[i],"|\\1")
}
for (i in x) {
progress(match(i,x), max.value = length(x))
subfield_list_char2 <- str_replace_all(subfield_list,"\\$","\\\\$")
string_a <- "(^)(.*?\\|"
string_b <- subfield_list_char2[i]
string_c <- ")(.*?)(\\,{0,1})((\\|\\$)(.*)|$)"
string <- paste(string_a,string_b,string_c,sep = "")
marc_field_100[,i+3] <- ifelse(grepl(subfield_list_char2[i],marc_field_100$X100),str_replace_all(gsub(string,"\\3",marc_field_100$X100),"\\${2}.", "~"),NA)
}
marc_field_100 <- marc_field_100 %>%
select(ZA_UWAGI,`$a`) %>%
unique() %>%
mutate(`$a` = str_remove(`$a`,"(?<=[a-zaáàâãäăāåąæeéèêëěēėęiíìîïīįioóòôõöőøœuúùûüűūůyýcćčçdďđđgģğkķlłļnńñňņŋrřsśšşsßtťŧþţzżźž])(\\.$)")) %>%
group_by(ZA_UWAGI) %>%
mutate(`$a` = paste(`$a`,collapse = "|")) %>%
ungroup() %>%
unique() %>%
mutate(TW_NAZWISKO = ifelse(grepl("\\|",`$a`), str_replace_all(str_remove_all(`$a`,","),"\\|",", "),
ifelse(grepl(",",`$a`),str_replace_all(`$a`,"(.*?)(, )(.*)","\\1"),as.character(`$a`))),
TW_IMIE = ifelse(grepl("\\|",`$a`),"*",
ifelse(grepl(",",`$a`),str_replace_all(`$a`,"(.*?)(, )(.*)","\\3"),"*"))) %>%
select(ZA_UWAGI,TW_NAZWISKO,TW_IMIE)
#join na podstawie identycznego id
podmiotowa_redaktorzy <- podmiotowa_redaktorzy %>%
left_join(.,marc_field_100,by="ZA_UWAGI") %>%
mutate(pbl_nazwa = as.character(pbl_nazwa)) %>%
mutate(DZ_DZIAL_ID = ifelse(nazwa_prosta=="polsk"&substr(pbl_nazwa,nchar(pbl_nazwa),nchar(pbl_nazwa))!=substr(TW_NAZWISKO,1,1),NA,as.integer(pbl_id))) %>%
filter(!is.na(DZ_DZIAL_ID)) %>%
arrange(ZA_UWAGI,DZ_DZIAL_ID)
count <- as.data.frame(table(podmiotowa_redaktorzy$ZA_UWAGI))
podmiotowa_redaktorzy <- merge(podmiotowa_redaktorzy,count,by.x = "ZA_UWAGI",by.y = "Var1") %>%
mutate(dlugosc = nchar(ukd_ogolne)) %>%
arrange(-Freq,ZA_UWAGI,-dlugosc,pbl_id)
podmiotowa_redaktorzy$same <- cumsum(!duplicated(podmiotowa_redaktorzy[1]))
do_podmiotowej4 <- podmiotowa_redaktorzy[!duplicated(podmiotowa_redaktorzy$same),] %>%
mutate(TW_TWORCA_ID = NA) %>%
rename(DZ_NAZWA = pbl_nazwa) %>%
select(ZA_UWAGI,TW_TWORCA_ID,TW_NAZWISKO,TW_IMIE,DZ_DZIAL_ID,DZ_NAZWA,redaktor_dzialu) %>%
mutate(RZ_RODZAJ_ID = 1,
RZ_NAZWA = "książka twórcy (podmiotowa)")
###przypisanie autorów podmiotowej do literatur i przypisanie do redaktorów na podstawie literatury z pola 655 i tworzenie nowych twórców na podstawie pola 100
podmiotowa_redaktorzy <- bn_ok %>%
filter(rodzaj_ksiazki=="podmiotowa") %>%
filter(ZA_UWAGI %notin% do_podmiotowej1$ZA_UWAGI) %>%
filter(ZA_UWAGI %notin% do_podmiotowej2$ZA_UWAGI) %>%
filter(ZA_UWAGI %notin% do_podmiotowej3$ZA_UWAGI) %>%
filter(ZA_UWAGI %notin% do_podmiotowej4$ZA_UWAGI)
#655
marc_field_655 <- podmiotowa_redaktorzy %>%
select(ZA_UWAGI,X655)%>%
filter(X655!="") %>%
mutate(X655=str_replace_all(X655,"(^|\\|)","~\\1")) %>%
cSplit(.,"X655",sep = "~",direction = "long") %>%
filter(X655!="") %>%
mutate(X655=str_remove_all(X655,"^\\|")) %>%
mutate(indicator = str_replace_all(X655,"(^.*?)(\\$.*)","\\1"))
subfield_list<- str_extract_all(podmiotowa_redaktorzy$X655,"\\$.")
subfield_list<- unique(unlist(subfield_list))
empty_table<- data.frame(matrix(ncol = length(subfield_list),nrow = lengths(marc_field_655)[1]))
colnames(empty_table) <-subfield_list
marc_field_655<-cbind(marc_field_655,empty_table)
subfield_list_char <- paste("(",subfield_list,")",sep = "")
subfield_list_char <- str_replace_all(subfield_list_char,"\\$","\\\\$")
x <- 1:length(subfield_list)
for (i in x) {
progress(match(i,x), max.value = length(x))
marc_field_655$X655 <- str_replace(marc_field_655$X655,subfield_list_char[i],"|\\1")
}
for (i in x) {
progress(match(i,x), max.value = length(x))
subfield_list_char2 <- str_replace_all(subfield_list,"\\$","\\\\$")
string_a <- "(^)(.*?\\|"
string_b <- subfield_list_char2[i]
string_c <- ")(.*?)(\\,{0,1})((\\|\\$)(.*)|$)"
string <- paste(string_a,string_b,string_c,sep = "")
marc_field_655[,i+3] <- ifelse(grepl(subfield_list_char2[i],marc_field_655$X655),str_replace_all(gsub(string,"\\3",marc_field_655$X655),"\\${2}.", "~"),NA)
}
marc_field_655 <- marc_field_655 %>%
select(ZA_UWAGI,`$a`) %>%
unique()
marc_field_655 <- sqldf("select *
from marc_field_655 a
left join PBL_hasla_osobowe b on a.`$a` like ('%'||b.nazwa||'%')")
###dodawanie nazewnictw nowych twórców
#100
marc_field_100 <- podmiotowa_redaktorzy %>%
select(ZA_UWAGI,X100)%>%
filter(X100!="") %>%
mutate(X100=str_replace_all(X100,"(^|\\|)","~\\1")) %>%
cSplit(.,"X100",sep = "~",direction = "long") %>%
filter(X100!="") %>%
mutate(X100=str_remove_all(X100,"^\\|")) %>%
mutate(indicator = str_replace_all(X100,"(^.*?)(\\$.*)","\\1"))
subfield_list<- str_extract_all(podmiotowa_redaktorzy$X100,"\\$.")
subfield_list<- unique(unlist(subfield_list))
empty_table<- data.frame(matrix(ncol = length(subfield_list),nrow = lengths(marc_field_100)[1]))
colnames(empty_table) <-subfield_list
marc_field_100<-cbind(marc_field_100,empty_table)
subfield_list_char <- paste("(",subfield_list,")",sep = "")
subfield_list_char <- str_replace_all(subfield_list_char,"\\$","\\\\$")
x <- 1:length(subfield_list)
for (i in x) {
progress(match(i,x), max.value = length(x))
marc_field_100$X100 <- str_replace(marc_field_100$X100,subfield_list_char[i],"|\\1")
}
for (i in x) {
progress(match(i,x), max.value = length(x))
subfield_list_char2 <- str_replace_all(subfield_list,"\\$","\\\\$")
string_a <- "(^)(.*?\\|"
string_b <- subfield_list_char2[i]
string_c <- ")(.*?)(\\,{0,1})((\\|\\$)(.*)|$)"
string <- paste(string_a,string_b,string_c,sep = "")
marc_field_100[,i+3] <- ifelse(grepl(subfield_list_char2[i],marc_field_100$X100),str_replace_all(gsub(string,"\\3",marc_field_100$X100),"\\${2}.", "~"),NA)
}
marc_field_100 <- marc_field_100 %>%
select(ZA_UWAGI,`$a`) %>%
unique() %>%
mutate(`$a` = str_remove(`$a`,"(?<=[a-zaáàâãäăāåąæeéèêëěēėęiíìîïīįioóòôõöőøœuúùûüűūůyýcćčçdďđđgģğkķlłļnńñňņŋrřsśšşsßtťŧþţzżźž])(\\.$)")) %>%
group_by(ZA_UWAGI) %>%
mutate(`$a` = paste(`$a`,collapse = "|")) %>%
ungroup() %>%
unique() %>%
mutate(TW_NAZWISKO = ifelse(grepl("\\|",`$a`), str_replace_all(str_remove_all(`$a`,","),"\\|",", "),
ifelse(grepl(",",`$a`),str_replace_all(`$a`,"(.*?)(, )(.*)","\\1"),as.character(`$a`))),
TW_IMIE = ifelse(grepl("\\|",`$a`),"*",
ifelse(grepl(",",`$a`),str_replace_all(`$a`,"(.*?)(, )(.*)","\\3"),"*"))) %>%
select(ZA_UWAGI,TW_NAZWISKO,TW_IMIE)
#join na podstawie identycznego id
marc_field_655 <- marc_field_655 %>%
left_join(.,marc_field_100,by="ZA_UWAGI") %>%
mutate(DZ_DZIAL_ID = ifelse(nazwa=="polsk"&substr(DZ_NAZWA,nchar(DZ_NAZWA),nchar(DZ_NAZWA))!=substr(TW_NAZWISKO,1,1),NA,as.integer(DZ_DZIAL_ID))) %>%
filter(!is.na(DZ_DZIAL_ID)) %>%
arrange(ZA_UWAGI,DZ_DZIAL_ID)
marc_field_655$same <- cumsum(!duplicated(marc_field_655[1]))
do_podmiotowej5 <- marc_field_655[!duplicated(marc_field_655$same),] %>%
select(ZA_UWAGI,DZ_DZIAL_ID,DZ_NAZWA,TW_NAZWISKO,TW_IMIE,redaktor_dzialu) %>%
filter(!is.na(DZ_DZIAL_ID)) %>%
mutate(TW_TWORCA_ID = NA,
RZ_RODZAJ_ID = 1,
RZ_NAZWA = "książka twórcy (podmiotowa)") %>%
select(names(marc_field_600))
###przypisanie autorów podmiotowej do literatur i przypisanie do redaktorów na podstawie literatury z pola 655 i tworzenie nowych twórców na podstawie pola 100
podmiotowa_redaktorzy <- bn_ok %>%
filter(rodzaj_ksiazki=="podmiotowa") %>%
filter(ZA_UWAGI %notin% do_podmiotowej1$ZA_UWAGI) %>%
filter(ZA_UWAGI %notin% do_podmiotowej2$ZA_UWAGI) %>%
filter(ZA_UWAGI %notin% do_podmiotowej3$ZA_UWAGI) %>%
filter(ZA_UWAGI %notin% do_podmiotowej4$ZA_UWAGI) %>%
filter(ZA_UWAGI %notin% do_podmiotowej5$ZA_UWAGI)
#650
marc_field_650 <- podmiotowa_redaktorzy %>%
select(ZA_UWAGI,X650)%>%
filter(X650!="") %>%
mutate(X650=str_replace_all(X650,"(^|\\|)","~\\1")) %>%
cSplit(.,"X650",sep = "~",direction = "long") %>%
filter(X650!="") %>%
mutate(X650=str_remove_all(X650,"^\\|")) %>%
mutate(indicator = str_replace_all(X650,"(^.*?)(\\$.*)","\\1"))
subfield_list<- str_extract_all(podmiotowa_redaktorzy$X650,"\\$.")
subfield_list<- unique(unlist(subfield_list))
empty_table<- data.frame(matrix(ncol = length(subfield_list),nrow = lengths(marc_field_650)[1]))
colnames(empty_table) <-subfield_list
marc_field_650<-cbind(marc_field_650,empty_table)
subfield_list_char <- paste("(",subfield_list,")",sep = "")
subfield_list_char <- str_replace_all(subfield_list_char,"\\$","\\\\$")
x <- 1:length(subfield_list)
for (i in x) {
progress(match(i,x), max.value = length(x))
marc_field_650$X650 <- str_replace(marc_field_650$X650,subfield_list_char[i],"|\\1")
}
for (i in x) {
progress(match(i,x), max.value = length(x))
subfield_list_char2 <- str_replace_all(subfield_list,"\\$","\\\\$")
string_a <- "(^)(.*?\\|"
string_b <- subfield_list_char2[i]
string_c <- ")(.*?)(\\,{0,1})((\\|\\$)(.*)|$)"
string <- paste(string_a,string_b,string_c,sep = "")
marc_field_650[,i+3] <- ifelse(grepl(subfield_list_char2[i],marc_field_650$X650),str_replace_all(gsub(string,"\\3",marc_field_650$X650),"\\${2}.", "~"),NA)
}
marc_field_650 <- marc_field_650 %>%
select(ZA_UWAGI,`$a`) %>%
unique()
marc_field_650 <- sqldf("select *
from marc_field_650 a
left join PBL_hasla_osobowe b on a.`$a` like ('%'||b.nazwa||'%')") %>%
left_join(.,marc_field_100,by="ZA_UWAGI") %>%
mutate(DZ_DZIAL_ID = ifelse(nazwa=="polsk"&substr(DZ_NAZWA,nchar(DZ_NAZWA),nchar(DZ_NAZWA))!=substr(TW_NAZWISKO,1,1),NA,as.integer(DZ_DZIAL_ID))) %>%
filter(!is.na(DZ_DZIAL_ID)) %>%
arrange(ZA_UWAGI,DZ_DZIAL_ID)
marc_field_650$same <- cumsum(!duplicated(marc_field_650[1]))
do_podmiotowej6 <- marc_field_650[!duplicated(marc_field_650$same),] %>%
select(ZA_UWAGI,DZ_DZIAL_ID,DZ_NAZWA,TW_NAZWISKO,TW_IMIE,redaktor_dzialu) %>%
filter(!is.na(DZ_DZIAL_ID)) %>%
mutate(TW_TWORCA_ID = NA,
RZ_RODZAJ_ID = 1,
RZ_NAZWA = "książka twórcy (podmiotowa)") %>%
select(names(marc_field_600))
#co zostało do podmiotowej?
podmiotowa_redaktorzy <- bn_ok %>%
filter(rodzaj_ksiazki=="podmiotowa") %>%
filter(ZA_UWAGI %notin% do_podmiotowej1$ZA_UWAGI) %>%
filter(ZA_UWAGI %notin% do_podmiotowej2$ZA_UWAGI) %>%
filter(ZA_UWAGI %notin% do_podmiotowej3$ZA_UWAGI) %>%
filter(ZA_UWAGI %notin% do_podmiotowej4$ZA_UWAGI) %>%
filter(ZA_UWAGI %notin% do_podmiotowej5$ZA_UWAGI) %>%
filter(ZA_UWAGI %notin% do_podmiotowej6$ZA_UWAGI)
#naddatek przypisać Marcie jako podmiotową bez twórców i czy_automatycznie <- nie
do_podmiotowej7 <- podmiotowa_redaktorzy %>%
mutate(TW_TWORCA_ID = NA,
TW_NAZWISKO = NA,
TW_IMIE = NA,
DZ_DZIAL_ID = NA,
DZ_NAZWA = NA,
RZ_RODZAJ_ID = 1,
RZ_NAZWA = "książka twórcy (podmiotowa)",
redaktor_dzialu = "MARTAKx") %>%
select(names(do_podmiotowej5))
#trzeba zaktualizować w bn_ok, że teraz to nie są automatyczne
lista_do_przepisania <- do_podmiotowej7$ZA_UWAGI
bn_ok$czy_automatycznie[bn_ok$ZA_UWAGI %in% lista_do_przepisania] <- "nie"
#połączenie przydziału podmiotowych w jeden plik
do_podmiotowej <- rbind(do_podmiotowej1,do_podmiotowej2,do_podmiotowej3,do_podmiotowej4,do_podmiotowej5,do_podmiotowej6,do_podmiotowej7)
#przypisanie antologii do Tomka i do literatur na podstawie 080
antologie_redaktorzy <- bn_ok %>%
filter(rodzaj_ksiazki == "antologia")
PBL_dzialy_antologie <- PBL_dzialy_path %>%
filter(grepl("antolog",DZ_NAZWA,ignore.case = TRUE)) %>%
left_join(.,redaktorzy_dzialow,by="DZ_DZIAL_ID") %>%
select(DZ_DZIAL_ID,DZ_NAZWA=DZ_NAZWA.x,redaktor_dzialu) %>%
mutate(redaktor_dzialu = ifelse(is.na(redaktor_dzialu),"TOMASZ",as.character(redaktor_dzialu)))
PBL_dzialy_antologie <- sqldf("select *
from PBL_dzialy_antologie a
left join BN_PBL_lista_literatur b on a.DZ_NAZWA like ('%'||b.nazwa_prosta||'%')") %>%
mutate(ukd_ogolne = ifelse(DZ_DZIAL_ID==146,"821.162.1",as.character(ukd_ogolne)),
nazwa_prosta = ifelse(DZ_DZIAL_ID==146,"polsk",as.character(nazwa_prosta))) %>%
filter(!is.na(ukd_ogolne)) %>%
filter(DZ_DZIAL_ID!=744) %>%
select(1:5)
antologie_redaktorzy <- sqldf("select *
from antologie_redaktorzy a
join PBL_dzialy_antologie b on a.X080 like ('%'||b.ukd_ogolne||'%')")
count <- as.data.frame(table(antologie_redaktorzy$ZA_UWAGI))
antologie_redaktorzy <- merge(antologie_redaktorzy,count,by.x = "ZA_UWAGI",by.y = "Var1") %>%
mutate(dlugosc = nchar(ukd_ogolne)) %>%
arrange(-Freq,ZA_UWAGI,-dlugosc,DZ_DZIAL_ID)
antologie_redaktorzy$same <- cumsum(!duplicated(antologie_redaktorzy[1]))
do_antologii1 <- antologie_redaktorzy[!duplicated(antologie_redaktorzy$same),] %>%
mutate(TW_TWORCA_ID = NA,
TW_NAZWISKO = NA,
TW_IMIE = NA) %>%
select(ZA_UWAGI,TW_TWORCA_ID,TW_NAZWISKO,TW_IMIE,DZ_DZIAL_ID,DZ_NAZWA,redaktor_dzialu) %>%
mutate(RZ_RODZAJ_ID = 21,
RZ_NAZWA = "książka w haśle rzeczowym")
#przypisanie antologii do Tomka i do literatur na podstawie 665
antologie_redaktorzy <- bn_ok %>%
filter(rodzaj_ksiazki == "antologia") %>%
filter(ZA_UWAGI %notin% do_antologii1$ZA_UWAGI)
marc_field_655 <- antologie_redaktorzy %>%
select(ZA_UWAGI,X655)%>%
filter(X655!="") %>%
mutate(X655=str_replace_all(X655,"(^|\\|)","~\\1")) %>%
cSplit(.,"X655",sep = "~",direction = "long") %>%
filter(X655!="") %>%
mutate(X655=str_remove_all(X655,"^\\|")) %>%
mutate(indicator = str_replace_all(X655,"(^.*?)(\\$.*)","\\1"))
subfield_list<- str_extract_all(antologie_redaktorzy$X655,"\\$.")
subfield_list<- unique(unlist(subfield_list))
empty_table<- data.frame(matrix(ncol = length(subfield_list),nrow = lengths(marc_field_655)[1]))
colnames(empty_table) <-subfield_list
marc_field_655<-cbind(marc_field_655,empty_table)
subfield_list_char <- paste("(",subfield_list,")",sep = "")
subfield_list_char <- str_replace_all(subfield_list_char,"\\$","\\\\$")
x <- 1:length(subfield_list)
for (i in x) {
progress(match(i,x), max.value = length(x))
marc_field_655$X655 <- str_replace(marc_field_655$X655,subfield_list_char[i],"|\\1")
}
for (i in x) {
progress(match(i,x), max.value = length(x))
subfield_list_char2 <- str_replace_all(subfield_list,"\\$","\\\\$")
string_a <- "(^)(.*?\\|"
string_b <- subfield_list_char2[i]
string_c <- ")(.*?)(\\,{0,1})((\\|\\$)(.*)|$)"
string <- paste(string_a,string_b,string_c,sep = "")
marc_field_655[,i+3] <- ifelse(grepl(subfield_list_char2[i],marc_field_655$X655),str_replace_all(gsub(string,"\\3",marc_field_655$X655),"\\${2}.", "~"),NA)
}
marc_field_655 <- marc_field_655 %>%
select(ZA_UWAGI,`$a`) %>%
unique()
marc_field_655 <- sqldf("select *
from marc_field_655 a
left join PBL_dzialy_antologie b on a.`$a` like ('%'||b.nazwa_prosta||'%')") %>%
filter(!is.na(DZ_DZIAL_ID)) %>%
arrange(ZA_UWAGI,DZ_DZIAL_ID)
marc_field_655$same <- cumsum(!duplicated(marc_field_655[1]))
do_antologii2 <- marc_field_655[!duplicated(marc_field_655$same),] %>%
select(ZA_UWAGI,DZ_DZIAL_ID,DZ_NAZWA,redaktor_dzialu) %>%
filter(!is.na(DZ_DZIAL_ID)) %>%
mutate(TW_TWORCA_ID = NA,
TW_NAZWISKO = NA,
TW_IMIE = NA,
RZ_RODZAJ_ID = 21,
RZ_NAZWA = "książka w haśle rzeczowym") %>%
select(names(do_antologii1))
#przypisanie antologii do Tomka i do literatur na podstawie 665
antologie_redaktorzy <- bn_ok %>%
filter(rodzaj_ksiazki == "antologia") %>%
filter(ZA_UWAGI %notin% do_antologii1$ZA_UWAGI) %>%
filter(ZA_UWAGI %notin% do_antologii2$ZA_UWAGI)
marc_field_650 <- antologie_redaktorzy %>%
select(ZA_UWAGI,X650)%>%
filter(X650!="") %>%
mutate(X650=str_replace_all(X650,"(^|\\|)","~\\1")) %>%
cSplit(.,"X650",sep = "~",direction = "long") %>%
filter(X650!="") %>%
mutate(X650=str_remove_all(X650,"^\\|")) %>%
mutate(indicator = str_replace_all(X650,"(^.*?)(\\$.*)","\\1"))
subfield_list<- str_extract_all(antologie_redaktorzy$X650,"\\$.")
subfield_list<- unique(unlist(subfield_list))
empty_table<- data.frame(matrix(ncol = length(subfield_list),nrow = lengths(marc_field_650)[1]))
colnames(empty_table) <-subfield_list
marc_field_650<-cbind(marc_field_650,empty_table)
subfield_list_char <- paste("(",subfield_list,")",sep = "")
subfield_list_char <- str_replace_all(subfield_list_char,"\\$","\\\\$")
x <- 1:length(subfield_list)
for (i in x) {
progress(match(i,x), max.value = length(x))
marc_field_650$X650 <- str_replace(marc_field_650$X650,subfield_list_char[i],"|\\1")
}
for (i in x) {
progress(match(i,x), max.value = length(x))
subfield_list_char2 <- str_replace_all(subfield_list,"\\$","\\\\$")
string_a <- "(^)(.*?\\|"
string_b <- subfield_list_char2[i]
string_c <- ")(.*?)(\\,{0,1})((\\|\\$)(.*)|$)"
string <- paste(string_a,string_b,string_c,sep = "")
marc_field_650[,i+3] <- ifelse(grepl(subfield_list_char2[i],marc_field_650$X650),str_replace_all(gsub(string,"\\3",marc_field_650$X650),"\\${2}.", "~"),NA)
}
marc_field_650 <- marc_field_650 %>%
select(ZA_UWAGI,`$a`) %>%
unique()
marc_field_650 <- sqldf("select *
from marc_field_650 a
left join PBL_dzialy_antologie b on a.`$a` like ('%'||b.nazwa_prosta||'%')") %>%
filter(!is.na(DZ_DZIAL_ID)) %>%
arrange(ZA_UWAGI,DZ_DZIAL_ID)
marc_field_650$same <- cumsum(!duplicated(marc_field_650[1]))
do_antologii3 <- marc_field_650[!duplicated(marc_field_650$same),] %>%
select(ZA_UWAGI,DZ_DZIAL_ID,DZ_NAZWA,redaktor_dzialu) %>%
filter(!is.na(DZ_DZIAL_ID)) %>%
mutate(TW_TWORCA_ID = NA,
TW_NAZWISKO = NA,
TW_IMIE = NA,
RZ_RODZAJ_ID = 21,
RZ_NAZWA = "książka w haśle rzeczowym") %>%
select(names(do_antologii1))
#reszta antologii bez działu po prostu przypisana do Tomka
antologie_redaktorzy <- bn_ok %>%
filter(rodzaj_ksiazki == "antologia") %>%
filter(ZA_UWAGI %notin% do_antologii1$ZA_UWAGI) %>%
filter(ZA_UWAGI %notin% do_antologii2$ZA_UWAGI) %>%
filter(ZA_UWAGI %notin% do_antologii3$ZA_UWAGI)
do_antologii4 <- antologie_redaktorzy %>%
mutate(TW_TWORCA_ID = NA,
TW_NAZWISKO = NA,
TW_IMIE = NA,
DZ_DZIAL_ID = NA,
DZ_NAZWA = NA,
RZ_RODZAJ_ID = 21,
RZ_NAZWA = "książka w haśle rzeczowym",
redaktor_dzialu = "TOMASZ") %>%
select(names(do_antologii1))
do_antologii <- rbind(do_antologii1,do_antologii2,do_antologii3,do_antologii4)
###przypisanie redaktora do współwydań na podstawie osoby z 245 jako twórcy (autora) (tabela pbl-bn-viaf)- książki twórcy
wspolwydanie_redaktorzy <- bn_ok %>%
filter(rodzaj_ksiazki=="współwydanie")
do_wspolwydania1 <- wspolwydanie_redaktorzy %>%
select(ZA_UWAGI,X245) %>%
mutate(X245 = str_extract(X245, "(?<=\\/\\$c)(.*?)(?= ;|$)"),
X245 = str_remove(X245,"\\.$"),
X245 = str_remove(X245,"\\["),
X245 = str_remove(X245,"\\]"),
nazwisko = ifelse(grepl(" [a-zaáàâãäăāåąæeéèêëěēėęiíìîïīįioóòôõöőøœuúùûüűūůyýcćčçdďđđgģğkķlłļnńñňņŋrřsśšşsßtťŧþţzżźž\\.]* ",X245),as.character(X245),str_replace(X245,"(^.*?)( )(?!.* )(.*$)","\\3")),
imie = ifelse(grepl(" [a-zaáàâãäăāåąæeéèêëěēėęiíìîïīįioóòôõöőøœuúùûüűūůyýcćčçdďđđgģğkķlłļnńñňņŋrřsśšşsßtťŧþţzżźž\\.]* ",X245),"*",str_replace(X245,"(^.*?)( )(?!.* )(.*$)","\\1")),
name = paste(nazwisko,imie,sep = ", ")) %>%
inner_join(.,pbl_viaf,by = c("name" = "BN_name")) %>%
left_join(.,PBL_tworcy,by = c("pbl_id"="TW_TWORCA_ID")) %>%
left_join(.,redaktorzy_dzialow,by = c("TW_DZ_DZIAL_ID"="DZ_DZIAL_ID")) %>%
select(ZA_UWAGI,TW_TWORCA_ID=pbl_id,TW_NAZWISKO,TW_IMIE,DZ_DZIAL_ID=TW_DZ_DZIAL_ID,DZ_NAZWA=DZ_NAZWA.x,redaktor_dzialu) %>%
mutate(RZ_RODZAJ_ID = 1,
RZ_NAZWA = "książka twórcy (podmiotowa)") %>%
unique()
###przypisanie redaktora na podstawie zbieżności fraz nazewnictwa osoby z 245 z twórcą pbl (dla tych, które nie zostały zmapowane na linii pbl-bn) - książki twórcy
wspolwydanie_redaktorzy <- bn_ok %>%
filter(rodzaj_ksiazki=="współwydanie") %>%
filter(ZA_UWAGI %notin% do_wspolwydania1$ZA_UWAGI)
do_wspolwydania2 <- wspolwydanie_redaktorzy %>%
select(ZA_UWAGI,X245) %>%
mutate(X245 = str_extract(X245, "(?<=\\/\\$c)(.*?)(?= ;|$)"),
X245 = str_remove(X245,"\\.$"),
X245 = str_remove(X245,"\\["),
X245 = str_remove(X245,"\\]"),
nazwisko = ifelse(grepl(" [a-zaáàâãäăāåąæeéèêëěēėęiíìîïīįioóòôõöőøœuúùûüűūůyýcćčçdďđđgģğkķlłļnńñňņŋrřsśšşsßtťŧþţzżźž\\.]* ",X245),as.character(X245),str_replace(X245,"(^.*?)( )(?!.* )(.*$)","\\3")),
imie = ifelse(grepl(" [a-zaáàâãäăāåąæeéèêëěēėęiíìîïīįioóòôõöőøœuúùûüűūůyýcćčçdďđđgģğkķlłļnńñňņŋrřsśšşsßtťŧþţzżźž\\.]* ",X245),"*",str_replace(X245,"(^.*?)( )(?!.* )(.*$)","\\1")),
name = paste(nazwisko,imie,sep = ", "),
nazwa = str_replace_all(str_to_lower(name), "\\W", "")) %>%
inner_join(.,PBL_tworcy_podm %>% select(TW_TWORCA_ID,TW_NAZWISKO,TW_IMIE,DZ_DZIAL_ID=TW_DZ_DZIAL_ID,DZ_NAZWA,nazwa),by="nazwa")
do_wspolwydania2$same <- cumsum(!duplicated(do_wspolwydania2[1:4]))
do_wspolwydania2 <- do_wspolwydania2 %>%
arrange(ZA_UWAGI,nazwisko,imie,nazwa,TW_TWORCA_ID)
do_wspolwydania2 <- do_wspolwydania2[!duplicated(do_wspolwydania2$same),] %>%
mutate(DZ_DZIAL_ID = as.integer(DZ_DZIAL_ID),
RZ_RODZAJ_ID = 1,
RZ_NAZWA = "książka twórcy (podmiotowa)") %>%
inner_join(.,redaktorzy_dzialow %>% select(DZ_DZIAL_ID,redaktor_dzialu),by="DZ_DZIAL_ID") %>%
select(names(do_wspolwydania1))
###przypisanie autorów podmiotowej do literatur i przypisanie do redaktorów na podstawie kodu literatury z pola X080 i tworzenie nowych twórców na podstawie pola 245
wspolwydanie_redaktorzy <- bn_ok %>%
filter(rodzaj_ksiazki=="współwydanie") %>%
filter(ZA_UWAGI %notin% do_wspolwydania1$ZA_UWAGI) %>%
filter(ZA_UWAGI %notin% do_wspolwydania2$ZA_UWAGI)
wspolwydanie_redaktorzy <- sqldf("select *
from wspolwydanie_redaktorzy a
join BN_PBL_lista_literatur b on a.X080 like ('%'||b.ukd_ogolne||'%')")
do_wspolwydania3 <- wspolwydanie_redaktorzy %>%
select(ZA_UWAGI,X245,pbl_id,pbl_nazwa,redaktor_dzialu,pbl_id_literatury,pbl_literatura,nazwa_prosta,ukd_ogolne) %>%
mutate(X245 = str_extract(X245, "(?<=\\/\\$c)(.*?)(?= ;|$)"),
X245 = str_remove(X245,"\\.$"),
X245 = str_remove(X245,"\\["),
X245 = str_remove(X245,"\\]"),
nazwisko = ifelse(grepl(" [a-zaáàâãäăāåąæeéèêëěēėęiíìîïīįioóòôõöőøœuúùûüűūůyýcćčçdďđđgģğkķlłļnńñňņŋrřsśšşsßtťŧþţzżźž\\.]* ",X245),as.character(X245),str_replace(X245,"(^.*?)( )(?!.* )(.*$)","\\3")),
imie = ifelse(grepl(" [a-zaáàâãäăāåąæeéèêëěēėęiíìîïīįioóòôõöőøœuúùûüűūůyýcćčçdďđđgģğkķlłļnńñňņŋrřsśšşsßtťŧþţzżźž\\.]* ",X245),"*",str_replace(X245,"(^.*?)( )(?!.* )(.*$)","\\1")),
name = paste(nazwisko,imie,sep = ", ")) %>%
mutate(pbl_nazwa = as.character(pbl_nazwa)) %>%
mutate(DZ_DZIAL_ID = ifelse(nazwa_prosta=="polsk"&substr(pbl_nazwa,nchar(pbl_nazwa),nchar(pbl_nazwa))!=substr(nazwisko,1,1),NA,as.integer(pbl_id))) %>%
filter(!is.na(DZ_DZIAL_ID)) %>%
arrange(ZA_UWAGI,DZ_DZIAL_ID)
count <- as.data.frame(table(do_wspolwydania3$ZA_UWAGI))
do_wspolwydania3 <- merge(do_wspolwydania3,count,by.x = "ZA_UWAGI",by.y = "Var1") %>%
mutate(dlugosc = nchar(ukd_ogolne)) %>%
arrange(-Freq,ZA_UWAGI,-dlugosc,pbl_id)
do_wspolwydania3$same <- cumsum(!duplicated(do_wspolwydania3[1]))
do_wspolwydania3 <- do_wspolwydania3[!duplicated(do_wspolwydania3$same),] %>%
mutate(TW_TWORCA_ID = NA) %>%
rename(DZ_NAZWA = pbl_nazwa,
TW_NAZWISKO = nazwisko,
TW_IMIE = imie) %>%
select(ZA_UWAGI,TW_TWORCA_ID,TW_NAZWISKO,TW_IMIE,DZ_DZIAL_ID,DZ_NAZWA,redaktor_dzialu) %>%
mutate(RZ_RODZAJ_ID = 1,
RZ_NAZWA = "książka twórcy (podmiotowa)")
###przypisanie autorów podmiotowej do literatur i przypisanie do redaktorów na podstawie literatury z pola 655 i tworzenie nowych twórców na podstawie pola 245
wspolwydanie_redaktorzy <- bn_ok %>%
filter(rodzaj_ksiazki=="współwydanie") %>%
filter(ZA_UWAGI %notin% do_wspolwydania1$ZA_UWAGI) %>%
filter(ZA_UWAGI %notin% do_wspolwydania2$ZA_UWAGI) %>%
filter(ZA_UWAGI %notin% do_wspolwydania3$ZA_UWAGI)
#655
marc_field_655 <- wspolwydanie_redaktorzy %>%
select(ZA_UWAGI,X655)%>%
filter(X655!="") %>%
mutate(X655=str_replace_all(X655,"(^|\\|)","~\\1")) %>%
cSplit(.,"X655",sep = "~",direction = "long") %>%
filter(X655!="") %>%
mutate(X655=str_remove_all(X655,"^\\|")) %>%
mutate(indicator = str_replace_all(X655,"(^.*?)(\\$.*)","\\1"))
subfield_list<- str_extract_all(wspolwydanie_redaktorzy$X655,"\\$.")
subfield_list<- unique(unlist(subfield_list))
empty_table<- data.frame(matrix(ncol = length(subfield_list),nrow = lengths(marc_field_655)[1]))
colnames(empty_table) <-subfield_list
marc_field_655<-cbind(marc_field_655,empty_table)
subfield_list_char <- paste("(",subfield_list,")",sep = "")
subfield_list_char <- str_replace_all(subfield_list_char,"\\$","\\\\$")
x <- 1:length(subfield_list)
for (i in x) {
progress(match(i,x), max.value = length(x))
marc_field_655$X655 <- str_replace(marc_field_655$X655,subfield_list_char[i],"|\\1")
}
for (i in x) {
progress(match(i,x), max.value = length(x))
subfield_list_char2 <- str_replace_all(subfield_list,"\\$","\\\\$")
string_a <- "(^)(.*?\\|"
string_b <- subfield_list_char2[i]
string_c <- ")(.*?)(\\,{0,1})((\\|\\$)(.*)|$)"
string <- paste(string_a,string_b,string_c,sep = "")
marc_field_655[,i+3] <- ifelse(grepl(subfield_list_char2[i],marc_field_655$X655),str_replace_all(gsub(string,"\\3",marc_field_655$X655),"\\${2}.", "~"),NA)
}
marc_field_655 <- marc_field_655 %>%
select(ZA_UWAGI,`$a`) %>%
unique()
marc_field_655 <- sqldf("select *
from marc_field_655 a
left join PBL_hasla_osobowe b on a.`$a` like ('%'||b.nazwa||'%')")
###dodawanie nazewnictw nowych twórców na podstawie 245
marc_field_245 <- wspolwydanie_redaktorzy %>%
select(ZA_UWAGI,X245) %>%
mutate(X245 = str_extract(X245, "(?<=\\/\\$c)(.*?)(?= ;|$)"),
X245 = str_remove(X245,"\\.$"),
X245 = str_remove(X245,"\\["),
X245 = str_remove(X245,"\\]"),
nazwisko = ifelse(grepl(" [a-zaáàâãäăāåąæeéèêëěēėęiíìîïīįioóòôõöőøœuúùûüűūůyýcćčçdďđđgģğkķlłļnńñňņŋrřsśšşsßtťŧþţzżźž\\.]* ",X245),as.character(X245),str_replace(X245,"(^.*?)( )(?!.* )(.*$)","\\3")),
imie = ifelse(grepl(" [a-zaáàâãäăāåąæeéèêëěēėęiíìîïīįioóòôõöőøœuúùûüűūůyýcćčçdďđđgģğkķlłļnńñňņŋrřsśšşsßtťŧþţzżźž\\.]* ",X245),"*",str_replace(X245,"(^.*?)( )(?!.* )(.*$)","\\1")),
name = paste(nazwisko,imie,sep = ", "))
#join na podstawie identycznego id
marc_field_655 <- marc_field_655 %>%
left_join(.,marc_field_245,by="ZA_UWAGI") %>%
mutate(DZ_DZIAL_ID = ifelse(nazwa=="polsk"&substr(DZ_NAZWA,nchar(DZ_NAZWA),nchar(DZ_NAZWA))!=substr(nazwisko,1,1),NA,as.integer(DZ_DZIAL_ID))) %>%
filter(!is.na(DZ_DZIAL_ID)) %>%
arrange(ZA_UWAGI,DZ_DZIAL_ID)
marc_field_655$same <- cumsum(!duplicated(marc_field_655[1]))
do_wspolwydania4 <- marc_field_655[!duplicated(marc_field_655$same),] %>%
select(ZA_UWAGI,DZ_DZIAL_ID,DZ_NAZWA,TW_NAZWISKO=nazwisko,TW_IMIE=imie,redaktor_dzialu) %>%
filter(!is.na(DZ_DZIAL_ID)) %>%
mutate(TW_TWORCA_ID = NA,
RZ_RODZAJ_ID = 1,
RZ_NAZWA = "książka twórcy (podmiotowa)") %>%
select(names(do_wspolwydania3))
###przypisanie autorów podmiotowej do literatur i przypisanie do redaktorów na podstawie literatury z pola 650 i tworzenie nowych twórców na podstawie pola 245
wspolwydanie_redaktorzy <- bn_ok %>%
filter(rodzaj_ksiazki=="współwydanie") %>%
filter(ZA_UWAGI %notin% do_wspolwydania1$ZA_UWAGI) %>%
filter(ZA_UWAGI %notin% do_wspolwydania2$ZA_UWAGI) %>%
filter(ZA_UWAGI %notin% do_wspolwydania3$ZA_UWAGI) %>%
filter(ZA_UWAGI %notin% do_wspolwydania4$ZA_UWAGI)
#650
marc_field_650 <- wspolwydanie_redaktorzy %>%
select(ZA_UWAGI,X650)%>%
filter(X650!="") %>%
mutate(X650=str_replace_all(X650,"(^|\\|)","~\\1")) %>%
cSplit(.,"X650",sep = "~",direction = "long") %>%
filter(X650!="") %>%
mutate(X650=str_remove_all(X650,"^\\|")) %>%
mutate(indicator = str_replace_all(X650,"(^.*?)(\\$.*)","\\1"))
subfield_list<- str_extract_all(wspolwydanie_redaktorzy$X650,"\\$.")
subfield_list<- unique(unlist(subfield_list))
empty_table<- data.frame(matrix(ncol = length(subfield_list),nrow = lengths(marc_field_650)[1]))
colnames(empty_table) <-subfield_list
marc_field_650<-cbind(marc_field_650,empty_table)
subfield_list_char <- paste("(",subfield_list,")",sep = "")
subfield_list_char <- str_replace_all(subfield_list_char,"\\$","\\\\$")
x <- 1:length(subfield_list)
for (i in x) {
progress(match(i,x), max.value = length(x))
marc_field_650$X650 <- str_replace(marc_field_650$X650,subfield_list_char[i],"|\\1")
}
for (i in x) {
progress(match(i,x), max.value = length(x))
subfield_list_char2 <- str_replace_all(subfield_list,"\\$","\\\\$")
string_a <- "(^)(.*?\\|"
string_b <- subfield_list_char2[i]
string_c <- ")(.*?)(\\,{0,1})((\\|\\$)(.*)|$)"
string <- paste(string_a,string_b,string_c,sep = "")
marc_field_650[,i+3] <- ifelse(grepl(subfield_list_char2[i],marc_field_650$X650),str_replace_all(gsub(string,"\\3",marc_field_650$X650),"\\${2}.", "~"),NA)
}
marc_field_650 <- marc_field_650 %>%
select(ZA_UWAGI,`$a`) %>%
unique()
marc_field_650 <- sqldf("select *
from marc_field_650 a
left join PBL_hasla_osobowe b on a.`$a` like ('%'||b.nazwa||'%')") %>%
left_join(.,marc_field_245,by="ZA_UWAGI") %>%
mutate(DZ_DZIAL_ID = ifelse(nazwa=="polsk"&substr(DZ_NAZWA,nchar(DZ_NAZWA),nchar(DZ_NAZWA))!=substr(nazwisko,1,1),NA,as.integer(DZ_DZIAL_ID))) %>%
filter(!is.na(DZ_DZIAL_ID)) %>%
arrange(ZA_UWAGI,DZ_DZIAL_ID)
marc_field_650$same <- cumsum(!duplicated(marc_field_650[1]))
do_wspolwydania5 <- marc_field_650[!duplicated(marc_field_650$same),] %>%
select(ZA_UWAGI,DZ_DZIAL_ID,DZ_NAZWA,TW_NAZWISKO=nazwisko,TW_IMIE=imie,redaktor_dzialu) %>%
filter(!is.na(DZ_DZIAL_ID)) %>%
mutate(TW_TWORCA_ID = NA,
RZ_RODZAJ_ID = 1,
RZ_NAZWA = "książka twórcy (podmiotowa)") %>%
select(names(do_wspolwydania4))
#co zostało do współwydania?
wspolwydanie_redaktorzy <- bn_ok %>%
filter(rodzaj_ksiazki=="współwydanie") %>%
filter(ZA_UWAGI %notin% do_wspolwydania1$ZA_UWAGI) %>%
filter(ZA_UWAGI %notin% do_wspolwydania2$ZA_UWAGI) %>%
filter(ZA_UWAGI %notin% do_wspolwydania3$ZA_UWAGI) %>%
filter(ZA_UWAGI %notin% do_wspolwydania4$ZA_UWAGI) %>%
filter(ZA_UWAGI %notin% do_wspolwydania5$ZA_UWAGI)
#naddatek przypisać Marcie jako podmiotową bez twórców i czy_automatycznie <- nie
do_wspolwydania6 <- wspolwydanie_redaktorzy %>%
mutate(TW_TWORCA_ID = NA,
TW_NAZWISKO = NA,
TW_IMIE = NA,
DZ_DZIAL_ID = NA,
DZ_NAZWA = NA,
RZ_RODZAJ_ID = 1,
RZ_NAZWA = "książka twórcy (podmiotowa)",
redaktor_dzialu = "MARTAKx") %>%
select(names(do_wspolwydania5))
#trzeba zaktualizować w bn_ok, że teraz to nie są automatyczne
lista_do_przepisania <- do_wspolwydania6$ZA_UWAGI
bn_ok$czy_automatycznie[bn_ok$ZA_UWAGI %in% lista_do_przepisania] <- "nie"
#połączenie przydziału współwydań w jeden plik
do_wspolwydania <- rbind(do_wspolwydania1,do_wspolwydania2,do_wspolwydania3,do_wspolwydania4,do_wspolwydania5,do_wspolwydania6)
#połączenie przydziałów w jeden plik (z wykluczeniem współwydania, bo ono idzie po za_uwagi)
redaktorzy_zapisow <- rbind(do_podmiotowej,do_przedmiotowej,do_antologii,do_wspolwydania)
#połączenie przypisania ze zbiorem
bn_ok <- bn_ok %>%
left_join(.,redaktorzy_zapisow,by="ZA_UWAGI") %>%
mutate(redaktor_dzialu = ifelse(is.na(DZ_NAZWA),as.character(redaktor_dzialu),
ifelse(DZ_NAZWA=="Hasła osobowe (literatura polska) - B","PAULINA",
ifelse(DZ_NAZWA=="Hasła osobowe (literatura polska) - G","MARTAK",
ifelse(DZ_NAZWA=="Hasła osobowe (literatura polska) - L","BEATAK",
ifelse(DZ_NAZWA=="Literatura współczesna (utwory anonimowe i ulotne)","ANIA",
ifelse(DZ_NAZWA=="Utwory anonimowe i ulotne","ANIA",
ifelse(DZ_NAZWA=="Utwory anonimowe i ulotne (epoka nieznana)","ANIA",
ifelse(DZ_NAZWA=="Hasła osobowe (literatura polska) - N","GOSIA",
ifelse(DZ_NAZWA=="Hasła osobowe (literatura polska) - O","IZA",
ifelse(DZ_NAZWA=="Hasła osobowe (literatura polska) - Q","IZA",
ifelse(DZ_NAZWA=="Literatura brytyjska i irlandzka","EWA",
ifelse(DZ_NAZWA=="Utwory anonimowe (brytyjska i irlandzka)","EWA",
ifelse(DZ_NAZWA=="Hasła osobowe (literatura polska) - U","PAULINA",
ifelse(DZ_NAZWA=="Hasła osobowe (literatura polska) - X","PAULINA",
ifelse(DZ_NAZWA=="Hasła osobowe (literatura polska) - V","PAULINA",
ifelse(DZ_NAZWA=="Hasła osobowe (literatura polska) - Y","PAULINA",
ifelse(DZ_NAZWA=="Hasła osobowe (literatura polska) - C","GOSIA",
ifelse(DZ_NAZWA=="Hasła osobowe (literatura polska) - D","GOSIA",as.character(redaktor_dzialu))))))))))))))))))))
#ujednolicenie literatury dla kilku zapisów nowego twórcy
kilka_literatur_nowego_tworcy <- bn_ok %>%
select(id,TW_TWORCA_ID,TW_NAZWISKO,TW_IMIE,DZ_DZIAL_ID,DZ_NAZWA,redaktor_dzialu) %>%
filter(is.na(TW_TWORCA_ID)&!is.na(TW_NAZWISKO)) %>%
select(-TW_TWORCA_ID) %>%
arrange(TW_NAZWISKO,TW_IMIE) %>%
group_by_at(vars(2:3)) %>%
mutate(unikatowy_dzial = paste(unique(DZ_DZIAL_ID),collapse = "|"),
DZ_DZIAL_ID = paste(DZ_DZIAL_ID,collapse = "|"),
DZ_NAZWA = paste(DZ_NAZWA,collapse = "|"),
redaktor_dzialu = paste(redaktor_dzialu,collapse = "|"),
id = paste(id,collapse = "|")) %>%
ungroup() %>%
unique() %>%
filter(grepl("\\|",unikatowy_dzial)) %>%
select(-unikatowy_dzial)
if(nrow(kilka_literatur_nowego_tworcy)>0) {
kilka_literatur_nowego_tworcy <- kilka_literatur_nowego_tworcy %>%
mutate(id_grupy = 1:nrow(.)) %>%
cSplit(.,c("id","DZ_DZIAL_ID","DZ_NAZWA","redaktor_dzialu"),sep = "|",direction = "long")
kilka_literatur_nowego_tworcy[,2:7][duplicated(kilka_literatur_nowego_tworcy$id_grupy),] <- NA
kilka_literatur_nowego_tworcy <- fill_(kilka_literatur_nowego_tworcy, names(kilka_literatur_nowego_tworcy))
#zaktualizowanie zbioru podmiotowych o ujednolicone działy dla nowych twórców
x <- 1:length(kilka_literatur_nowego_tworcy$id)
for (i in x) {
progress(match(i,x), max.value = length(x))
bn_ok$DZ_DZIAL_ID[bn_ok$id==kilka_literatur_nowego_tworcy$id[i]] <- kilka_literatur_nowego_tworcy$DZ_DZIAL_ID[i]
bn_ok$DZ_NAZWA[bn_ok$id==kilka_literatur_nowego_tworcy$id[i]] <- as.character(kilka_literatur_nowego_tworcy$DZ_NAZWA)[i]
bn_ok$redaktor_dzialu[bn_ok$id==kilka_literatur_nowego_tworcy$id[i]] <- as.character(kilka_literatur_nowego_tworcy$redaktor_dzialu)[i]
}
}
#jeśli nie ma działu lub rodzaju zapisu, to wpisać id i nazwę do ustalenia
bn_ok <- bn_ok %>%
mutate(DZ_DZIAL_ID =ifelse(is.na(DZ_DZIAL_ID),0,as.integer(DZ_DZIAL_ID)),
DZ_NAZWA = ifelse(is.na(DZ_NAZWA),"-- do ustalenia --",as.character(DZ_NAZWA)),
RZ_RODZAJ_ID =ifelse(is.na(RZ_RODZAJ_ID),0,as.integer(RZ_RODZAJ_ID)),
RZ_NAZWA = ifelse(is.na(RZ_NAZWA),"-- do ustalenia --",as.character(RZ_NAZWA)))
#usunięcie nadwyżki z książek z działów IH
slowniki_jezykowe_zle <- bn_ok %>%
filter(DZ_NAZWA=="Słowniki językowe") %>%
filter(!grepl("słownik",X655,ignore.case = TRUE))
slowniki_biograficzne_zle <- bn_ok %>%
filter(DZ_NAZWA=="Słowniki biograficzne") %>%
filter(!(grepl("Słownik biograficzny|Biografia",X655)&(grepl("pisarz|litera|aktor|scenograf|nauczyciel|akademi|nauk|filolog|kryty|lit\\.",X655,ignore.case = TRUE)|grepl("pisarz|litera|aktor|scenograf|nauczyciel|akademi|nauk|filolog|kryty|lit\\.",X650,ignore.case = TRUE))))
bn_ok <- bn_ok %>%
filter(ZA_UWAGI %notin% slowniki_jezykowe_zle$ZA_UWAGI) %>%
filter(ZA_UWAGI %notin% slowniki_biograficzne_zle$ZA_UWAGI)test <- as.data.frame(table(bn_ok$redaktor_dzialu,bn_ok$DZ_NAZWA,bn_ok$czy_automatycznie)) %>%
filter(Var1=="BEATAS"&Freq>0,
Var3=="nie") %>%
arrange(-Freq)
Było 50 lub więcej ostrzeżeń (użyj 'warnings()' aby zobaczyć pierwsze 50)noquote(kolejnosc)
[1] pracownik ZA_ZAPIS_ID typ_ksiazki link link_1 rok status blad_w_imporcie_tytulu X100
[10] X245 X650 X655 X246 X250 X260 X300 X380 X490
[19] X500 X501 X546 X600 X700 X041 X080 test <- uzupelnienia %>% select(pracownik = redaktor_dzialu,typ_ksiazki = rodzaj_ksiazki,link = BN_URL, rok, X100, X245, X650, X655, X246, X250, X260, X300, X380, X490, X500, X501, X546, X600, X700, X041, X080,ZA_UWAGI) %>% mutate(link_1 = paste("=HYPERLINK(\"",link,"\";\"link do książki w BN\")",sep = ""), blad_w_imporcie_tytulu = FALSE)
Komunikaty ostrzegawcze:
1: Unknown or uninitialised column: 'drugi_autor'.
2: Unknown or uninitialised column: 'drugi_autor'.
3: Unknown or uninitialised column: 'drugi_autor'.
4: Unknown or uninitialised column: 'drugi_autor'.
5: Unknown or uninitialised column: 'drugi_autor'.
6: Unknown or uninitialised column: 'drugi_autor'. data <- bn_ok %>%
filter(rodzaj_ksiazki=="przedmiotowa") %>%
mutate(redaktor_dzialu = paste(redaktor_dzialu,"_przedm",sep = ""))Było 50 lub więcej ostrzeżeń (użyj 'warnings()' aby zobaczyć pierwsze 50)#uwolnienie kolumn z danymi z bn i przetworzenie do PBL
#1: za_uwagi, rz_nazwa, za_ro_rok, za_type, rz_rodzaj_id, tw_tworca_id, tw_nazwisko, tw_imie, dz_dzial_id, dz_nazwa, redaktor_dzialu
pola_pbl <- data %>%
select(ZA_UWAGI, RZ_NAZWA, ZA_RO_ROK = rok, RZ_RODZAJ_ID, TW_TWORCA_ID, TW_NAZWISKO, TW_IMIE, DZ_DZIAL_ID, DZ_NAZWA, redaktor_dzialu) %>%
mutate(ZA_TYPE = "KS")
#2: autor
BN_autor <- data %>%
select(X100,X245,ZA_UWAGI)
#pole 100
marc_field_100 <- BN_autor %>%
select(ZA_UWAGI,X100)%>%
filter(X100!="") %>%
mutate(X100=str_replace_all(X100,"(^|\\|)","~\\1")) %>%
cSplit(.,"X100",sep = "~",direction = "long") %>%
filter(X100!="") %>%
mutate(X100=str_remove_all(X100,"^\\|")) %>%
mutate(indicator = str_replace_all(X100,"(^.*?)(\\$.*)","\\1"))
subfield_list<- str_extract_all(BN_autor$X100,"\\$.")
subfield_list<- unique(unlist(subfield_list))
empty_table<- data.frame(matrix(ncol = length(subfield_list),nrow = lengths(marc_field_100)[1]))
colnames(empty_table) <-subfield_list
marc_field_100<-cbind(marc_field_100,empty_table)
subfield_list_char <- paste("(",subfield_list,")",sep = "")
subfield_list_char <- str_replace_all(subfield_list_char,"\\$","\\\\$")
x <- 1:length(subfield_list)
for (i in x) {
progress(match(i,x), max.value = length(x))
marc_field_100$X100 <- str_replace(marc_field_100$X100,subfield_list_char[i],"|\\1")
}Progress: 1 on 5 Progress: 2 on 5 Progress: 3 on 5 Progress: 4 on 5 Progress: 5 on 5 for (i in x) {
progress(match(i,x), max.value = length(x))
subfield_list_char2 <- str_replace_all(subfield_list,"\\$","\\\\$")
string_a <- "(^)(.*?\\|"
string_b <- subfield_list_char2[i]
string_c <- ")(.*?)(\\,{0,1})((\\|\\$)(.*)|$)"
string <- paste(string_a,string_b,string_c,sep = "")
marc_field_100[,i+3] <- ifelse(grepl(subfield_list_char2[i],marc_field_100$X100),str_replace_all(gsub(string,"\\3",marc_field_100$X100),"\\${2}.", "~"),NA)
}Progress: 1 on 5 Progress: 2 on 5 Progress: 3 on 5 Progress: 4 on 5 Progress: 5 on 5 #pole 245
marc_field_245 <- BN_autor %>%
select(ZA_UWAGI,X245)%>%
filter(X245!="") %>%
mutate(X245=str_replace_all(X245,"(^|\\|)","~\\1")) %>%
cSplit(.,"X245",sep = "~",direction = "long") %>%
filter(X245!="") %>%
mutate(X245=str_remove_all(X245,"^\\|")) %>%
mutate(indicator = str_replace_all(X245,"(^.*?)(\\$.*)","\\1"))
subfield_list<- str_extract_all(BN_autor$X245,"\\$.")
subfield_list<- unique(unlist(subfield_list))
empty_table<- data.frame(matrix(ncol = length(subfield_list),nrow = lengths(marc_field_245)[1]))
colnames(empty_table) <-subfield_list
marc_field_245<-cbind(marc_field_245,empty_table)
subfield_list_char <- paste("(",subfield_list,")",sep = "")
subfield_list_char <- str_replace_all(subfield_list_char,"\\$","\\\\$")
x <- 1:length(subfield_list)
for (i in x) {
progress(match(i,x), max.value = length(x))
marc_field_245$X245 <- str_replace(marc_field_245$X245,subfield_list_char[i],"|\\1")
}Progress: 1 on 5 Progress: 2 on 5 Progress: 3 on 5 Progress: 4 on 5 Progress: 5 on 5 for (i in x) {
progress(match(i,x), max.value = length(x))
subfield_list_char2 <- str_replace_all(subfield_list,"\\$","\\\\$")
string_a <- "(^)(.*?\\|"
string_b <- subfield_list_char2[i]
string_c <- ")(.*?)(\\,{0,1})((\\|\\$)(.*)|$)"
string <- paste(string_a,string_b,string_c,sep = "")
marc_field_245[,i+3] <- ifelse(grepl(subfield_list_char2[i],marc_field_245$X245),str_replace_all(gsub(string,"\\3",marc_field_245$X245),"\\${2}.", "~"),NA)
}Progress: 1 on 5 Progress: 2 on 5 Progress: 3 on 5 Progress: 4 on 5 Progress: 5 on 5 BN_autor <- marc_field_100 %>%
select(ZA_UWAGI,`$a`,`$b`) %>%
unique() %>%
mutate(`$a` = ifelse(!is.na(`$b`),paste(`$a`,`$b`,sep = " "),as.character(`$a`))) %>%
mutate(`$a` = str_remove(`$a`,"(?<=[a-zaáàâãäăāåąæeéèêëěēėęiíìîïīįioóòôõöőøœuúùûüűūůyýcćčçdďđđgģğkķlłļnńñňņŋrřsśšşsßtťŧþţzżźž])(\\.$)")) %>%
unique() %>%
mutate(AM_NAZWISKO = ifelse(grepl("\\|",`$a`), str_replace_all(str_remove_all(`$a`,","),"\\|",", "),
ifelse(grepl(",",`$a`),str_replace_all(`$a`,"(.*?)(, )(.*)","\\1"),as.character(`$a`))),
AM_IMIE = ifelse(grepl("\\|",`$a`),"*",
ifelse(grepl(",",`$a`),str_replace_all(`$a`,"(.*?)(, )(.*)","\\3"),"*"))) %>%
select(ZA_UWAGI,AM_NAZWISKO,AM_IMIE) %>%
left_join(.,marc_field_245,by="ZA_UWAGI") %>%
select(ZA_UWAGI,AM_NAZWISKO,AM_IMIE, X245c = `$c`)
x <- 1:lengths(BN_autor[1])
for (i in x) {
progress(match(i,x), max.value = length(x))
BN_autor$czy_nazwisko[i] <- grepl(BN_autor$AM_NAZWISKO[i],BN_autor$X245c[i])
BN_autor$czy_imie[i] <- grepl(BN_autor$AM_IMIE[i],BN_autor$X245c[i])
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mutate(ZA_ADNOTACJE = ifelse(czy_nazwisko==FALSE|czy_imie==FALSE,paste("UWAGA! Konflikt w danych osobowych w polach 100 i 245. Porównaj pole autor w formularzu z polem BN: ",X245c,sep = ""),NA)) %>%
select(ZA_UWAGI,AM_NAZWISKO,AM_IMIE,ZA_ADNOTACJE) %>%
mutate(nazwa = str_replace_all(str_to_lower(paste(AM_NAZWISKO,AM_IMIE, sep = "")), "\\W", "")) %>%
left_join(.,PBL_autorzy %>% select(AM_AUTOR_ID,AM_KRYPTONIM,AM_LICZBA_ZAPISOW,nazwa) %>% filter(is.na(AM_KRYPTONIM)),by="nazwa") %>%
arrange(ZA_UWAGI,AM_NAZWISKO,AM_IMIE,-AM_LICZBA_ZAPISOW)
BN_autor$id_grupy <- cumsum(!duplicated(BN_autor[1:3]))
BN_autor <- BN_autor[!duplicated(BN_autor$id_grupy),] %>%
select(ZA_UWAGI,AM_NAZWISKO,AM_IMIE,ZA_ADNOTACJE,AM_AUTOR_ID)
#3: tytuł
#pole 245
marc_field_245 <- data %>%
select(ZA_UWAGI,X245)%>%
filter(X245!="") %>%
mutate(X245=str_remove_all(X245,"~"),
X245=str_replace_all(X245,"(^|\\|)","~\\1")) %>%
cSplit(.,"X245",sep = "~",direction = "long") %>%
filter(X245!="") %>%
mutate(X245=str_remove_all(X245,"^\\|")) %>%
mutate(indicator = str_replace_all(X245,"(^.*?)(\\$.*)","\\1"))
subfield_list<- str_extract_all(data$X245,"\\$.")
subfield_list<- unique(unlist(subfield_list))
empty_table<- data.frame(matrix(ncol = length(subfield_list),nrow = lengths(marc_field_245)[1]))
colnames(empty_table) <-subfield_list
marc_field_245<-cbind(marc_field_245,empty_table)
subfield_list_char <- paste("(",subfield_list,")",sep = "")
subfield_list_char <- str_replace_all(subfield_list_char,"\\$","\\\\$")
x <- 1:length(subfield_list)
for (i in x) {
progress(match(i,x), max.value = length(x))
marc_field_245$X245 <- str_replace(marc_field_245$X245,subfield_list_char[i],"|\\1")
}Progress: 1 on 5 Progress: 2 on 5 Progress: 3 on 5 Progress: 4 on 5 Progress: 5 on 5 for (i in x) {
progress(match(i,x), max.value = length(x))
subfield_list_char2 <- str_replace_all(subfield_list,"\\$","\\\\$")
string_a <- "(^)(.*?\\|"
string_b <- subfield_list_char2[i]
string_c <- ")(.*?)(\\,{0,1})((\\|\\$)(.*)|$)"
string <- paste(string_a,string_b,string_c,sep = "")
marc_field_245[,i+3] <- ifelse(grepl(subfield_list_char2[i],marc_field_245$X245),str_replace_all(gsub(string,"\\3",marc_field_245$X245),"\\${2}.", "~"),NA)
}Progress: 1 on 5 Progress: 2 on 5 Progress: 3 on 5 Progress: 4 on 5 Progress: 5 on 5 za_tytul <- marc_field_245 %>%
select(ZA_UWAGI,`$a`,`$b`,`$n`,`$p`) %>%
group_by(ZA_UWAGI) %>%
mutate(`$a` = paste(ifelse(is.na(`$a`),"",as.character(`$a`)),collapse = " "),
`$b` = paste(ifelse(is.na(`$b`),"",as.character(`$b`)),collapse = " "),
`$n` = paste(ifelse(is.na(`$n`),"",as.character(`$n`)),collapse = " "),
`$p` = paste(ifelse(is.na(`$p`),"",as.character(`$p`)),collapse = " ")) %>%
ungroup() %>%
unique() %>%
unite("ZA_TYTUL",`$a`:`$p`,sep = " ",na.rm = TRUE) %>%
mutate(ZA_TYTUL = str_replace_all(ZA_TYTUL," +"," "),
ZA_TYTUL = str_remove(ZA_TYTUL, "\\s+\\/\\s{0,}$"),
ZA_TYTUL = ifelse(grepl("([a-zaáàâãäăāåąæeéèêëěēėęiíìîïīįioóòôõöőøœuúùûüűūůyýcćčçdďđđgģğkķlłļnńñňņŋrřsśšşsßtťŧþţzżźžIVX])( )(:|;)( )(\\(|\\[)(.)",ZA_TYTUL),gsub("([a-zaáàâãäăāåąæeéèêëěēėęiíìîïīįioóòôõöőøœuúùûüűūůyýcćčçdďđđgģğkķlłļnńñňņŋrřsśšşsßtťŧþţzżźžIVX])( )(:|;)( )(\\(|\\[)(.)","\\1.\\2\\5\\U\\6",perl=TRUE,ZA_TYTUL),
ifelse(grepl("(\\W)( )(:|;)( )(\\(|\\[)(.)",ZA_TYTUL),gsub("(\\W)( )(:|;)( )(\\(|\\[)(.)","\\1\\2\\U\\5\\6",perl = TRUE,ZA_TYTUL),
ifelse(grepl("([a-zaáàâãäăāåąæeéèêëěēėęiíìîïīįioóòôõöőøœuúùûüűūůyýcćčçdďđđgģğkķlłļnńñňņŋrřsśšşsßtťŧþţzżźžIVX])( )(:|;)( )(.)",ZA_TYTUL),gsub("([a-zaáàâãäăāåąæeéèêëěēėęiíìîïīįioóòôõöőøœuúùûüűūůyýcćčçdďđđgģğkķlłļnńñňņŋrřsśšşsßtťŧþţzżźžIVX])( )(:|;)( )(.)","\\1.\\2\\U\\5",perl = TRUE,ZA_TYTUL),
ifelse(grepl("(\\W)( )(:|;)( )(.)",ZA_TYTUL),gsub("(\\W)( )(:|;)( )(.)","\\1\\2\\U\\5",perl = TRUE,ZA_TYTUL),as.character(ZA_TYTUL))))),
ZA_TYTUL = ifelse(grepl("([a-zaáàâãäăāåąæeéèêëěēėęiíìîïīįioóòôõöőøœuúùûüűūůyýcćčçdďđđgģğkķlłļnńñňņŋrřsśšşsßtťŧþţzżźžIVX])( )(:|;)( )(\\(|\\[)(.)",ZA_TYTUL),gsub("([a-zaáàâãäăāåąæeéèêëěēėęiíìîïīįioóòôõöőøœuúùûüűūůyýcćčçdďđđgģğkķlłļnńñňņŋrřsśšşsßtťŧþţzżźžIVX])( )(:|;)( )(\\(|\\[)(.)","\\1.\\2\\5\\U\\6",perl=TRUE,ZA_TYTUL),
ifelse(grepl("(\\W)( )(:|;)( )(\\(|\\[)(.)",ZA_TYTUL),gsub("(\\W)( )(:|;)( )(\\(|\\[)(.)","\\1\\2\\U\\5\\6",perl = TRUE,ZA_TYTUL),
ifelse(grepl("([a-zaáàâãäăāåąæeéèêëěēėęiíìîïīįioóòôõöőøœuúùûüűūůyýcćčçdďđđgģğkķlłļnńñňņŋrřsśšşsßtťŧþţzżźžIVX])( )(:|;)( )(.)",ZA_TYTUL),gsub("([a-zaáàâãäăāåąæeéèêëěēėęiíìîïīįioóòôõöőøœuúùûüűūůyýcćčçdďđđgģğkķlłļnńñňņŋrřsśšşsßtťŧþţzżźžIVX])( )(:|;)( )(.)","\\1.\\2\\U\\5",perl = TRUE,ZA_TYTUL),
ifelse(grepl("(\\W)( )(:|;)( )(.)",ZA_TYTUL),gsub("(\\W)( )(:|;)( )(.)","\\1\\2\\U\\5",perl = TRUE,ZA_TYTUL),as.character(ZA_TYTUL))))),
ZA_TYTUL = str_replace_all(ZA_TYTUL,"\\.{3} \\.{3}","... "),
ZA_TYTUL = str_replace_all(ZA_TYTUL," ; ",". "),
ZA_TYTUL = gsub("( : )(.)",". \\U\\2",perl=TRUE,ZA_TYTUL)) %>%
select(ZA_UWAGI,ZA_TYTUL)
#4: tytuł oryginału
#pole 246
marc_field_246 <- data %>%
select(ZA_UWAGI,X246)%>%
filter(X246!="") %>%
mutate(X246=str_remove_all(X246,"~"),
X246=str_replace_all(X246,"(^|\\|)","~\\1")) %>%
cSplit(.,"X246",sep = "~",direction = "long") %>%
filter(X246!="") %>%
mutate(X246=str_remove_all(X246,"^\\|")) %>%
mutate(indicator = str_replace_all(X246,"(^.*?)(\\$.*)","\\1"))
subfield_list<- str_extract_all(data$X246,"\\$.")
subfield_list<- unique(unlist(subfield_list))
empty_table<- data.frame(matrix(ncol = length(subfield_list),nrow = lengths(marc_field_246)[1]))
colnames(empty_table) <-subfield_list
marc_field_246<-cbind(marc_field_246,empty_table)
subfield_list_char <- paste("(",subfield_list,")",sep = "")
subfield_list_char <- str_replace_all(subfield_list_char,"\\$","\\\\$")
x <- 1:length(subfield_list)
for (i in x) {
progress(match(i,x), max.value = length(x))
marc_field_246$X246 <- str_replace(marc_field_246$X246,subfield_list_char[i],"|\\1")
}Progress: 1 on 4 Progress: 2 on 4 Progress: 3 on 4 Progress: 4 on 4 for (i in x) {
progress(match(i,x), max.value = length(x))
subfield_list_char2 <- str_replace_all(subfield_list,"\\$","\\\\$")
string_a <- "(^)(.*?\\|"
string_b <- subfield_list_char2[i]
string_c <- ")(.*?)(\\,{0,1})((\\|\\$)(.*)|$)"
string <- paste(string_a,string_b,string_c,sep = "")
marc_field_246[,i+3] <- ifelse(grepl(subfield_list_char2[i],marc_field_246$X246),str_replace_all(gsub(string,"\\3",marc_field_246$X246),"\\${2}.", "~"),NA)
}Progress: 1 on 4 Progress: 2 on 4 Progress: 3 on 4 Progress: 4 on 4 if("$n" %in% colnames(marc_field_246)) {
marc_field_246 <- marc_field_246[, colSums(is.na(marc_field_246)) != nrow(marc_field_246)] %>%
filter(grepl("oryg",X246)) %>%
select(ZA_UWAGI,`$a`,`$b`,`$n`,`$p`) %>%
group_by(ZA_UWAGI) %>%
mutate(`$a` = paste(ifelse(is.na(`$a`),"",as.character(`$a`)),collapse = ", "),
`$b` = paste(ifelse(is.na(`$b`),"",as.character(`$b`)),collapse = ""),
`$n` = paste(ifelse(is.na(`$n`),"",as.character(`$n`)),collapse = ""),
`$p` = paste(ifelse(is.na(`$p`),"",as.character(`$p`)),collapse = "")) %>%
ungroup() %>%
unique() %>%
unite("X246",`$a`:`$p`,sep = " ",na.rm = TRUE) %>%
mutate(X246 = str_replace_all(X246," +"," "),
X246 = str_remove(X246, "\\s+\\/\\s{0,}$"),
X246 = ifelse(grepl("([a-zaáàâãäăāåąæeéèêëěēėęiíìîïīįioóòôõöőøœuúùûüűūůyýcćčçdďđđgģğkķlłļnńñňņŋrřsśšşsßtťŧþţzżźžIVX])( )(:|;)( ){0,1}(\\(|\\[)(.)",X246),gsub("([a-zaáàâãäăāåąæeéèêëěēėęiíìîïīįioóòôõöőøœuúùûüűūůyýcćčçdďđđgģğkķlłļnńñňņŋrřsśšşsßtťŧþţzżźžIVX])( )(:|;)( ){0,1}(\\(|\\[)(.)","\\1.\\2\\5\\U\\6",perl=TRUE,X246),
ifelse(grepl("(\\W)( )(:|;)( )(\\(|\\[)(.)",X246),gsub("(\\W)( )(:|;)( )(\\(|\\[)(.)","\\1\\2\\U\\5\\6",perl = TRUE,X246),
ifelse(grepl("([a-zaáàâãäăāåąæeéèêëěēėęiíìîïīįioóòôõöőøœuúùûüűūůyýcćčçdďđđgģğkķlłļnńñňņŋrřsśšşsßtťŧþţzżźžIVX])( )(:|;)( ){0,1}(.)",X246),gsub("([a-zaáàâãäăāåąæeéèêëěēėęiíìîïīįioóòôõöőøœuúùûüűūůyýcćčçdďđđgģğkķlłļnńñňņŋrřsśšşsßtťŧþţzżźžIVX])( )(:|;)( ){0,1}(.)","\\1.\\2\\U\\5",perl = TRUE,X246),
ifelse(grepl("(\\W)( )(:|;)( )(.)",X246),gsub("(\\W)( )(:|;)( )(.)","\\1\\2\\U\\5",perl = TRUE,X246),as.character(X246))))),
X246 = ifelse(grepl("([a-zaáàâãäăāåąæeéèêëěēėęiíìîïīįioóòôõöőøœuúùûüűūůyýcćčçdďđđgģğkķlłļnńñňņŋrřsśšşsßtťŧþţzżźžIVX])( )(:|;)( ){0,1}(\\(|\\[)(.)",X246),gsub("([a-zaáàâãäăāåąæeéèêëěēėęiíìîïīįioóòôõöőøœuúùûüűūůyýcćčçdďđđgģğkķlłļnńñňņŋrřsśšşsßtťŧþţzżźžIVX])( )(:|;)( ){0,1}(\\(|\\[)(.)","\\1.\\2\\5\\U\\6",perl=TRUE,X246),
ifelse(grepl("(\\W)( )(:|;)( )(\\(|\\[)(.)",X246),gsub("(\\W)( )(:|;)( )(\\(|\\[)(.)","\\1\\2\\U\\5\\6",perl = TRUE,X246),
ifelse(grepl("([a-zaáàâãäăāåąæeéèêëěēėęiíìîïīįioóòôõöőøœuúùûüűūůyýcćčçdďđđgģğkķlłļnńñňņŋrřsśšşsßtťŧþţzżźžIVX])( )(:|;)( ){0,1}(.)",X246),gsub("([a-zaáàâãäăāåąæeéèêëěēėęiíìîïīįioóòôõöőøœuúùûüűūůyýcćčçdďđđgģğkķlłļnńñňņŋrřsśšşsßtťŧþţzżźžIVX])( )(:|;)( ){0,1}(.)","\\1.\\2\\U\\5",perl = TRUE,X246),
ifelse(grepl("(\\W)( )(:|;)( ){0,1}(.)",X246),gsub("(\\W)( )(:|;)( ){0,1}(.)","\\1\\2\\U\\5",perl = TRUE,X246),as.character(X246))))),
X246 = str_replace_all(X246,"\\.{3} \\.{3}","... "),
X246 = gsub("( : )(.)",". \\U\\2",perl=TRUE,X246)) %>%
select(ZA_UWAGI, X246)
} else {
marc_field_246 <- marc_field_246[, colSums(is.na(marc_field_246)) != nrow(marc_field_246)] %>%
filter(grepl("oryg",X246)) %>%
select(ZA_UWAGI,`$a`,`$b`) %>%
group_by(ZA_UWAGI) %>%
mutate(`$a` = paste(ifelse(is.na(`$a`),"",as.character(`$a`)),collapse = ", "),
`$b` = paste(ifelse(is.na(`$b`),"",as.character(`$b`)),collapse = "")) %>%
ungroup() %>%
unique() %>%
unite("X246",`$a`:`$b`,sep = " ",na.rm = TRUE) %>%
mutate(X246 = str_replace_all(X246," +"," "),
X246 = str_remove(X246, "\\s+\\/\\s{0,}$"),
X246 = ifelse(grepl("([a-zaáàâãäăāåąæeéèêëěēėęiíìîïīįioóòôõöőøœuúùûüűūůyýcćčçdďđđgģğkķlłļnńñňņŋrřsśšşsßtťŧþţzżźžIVX])( )(:|;)( ){0,1}(\\(|\\[)(.)",X246),gsub("([a-zaáàâãäăāåąæeéèêëěēėęiíìîïīįioóòôõöőøœuúùûüűūůyýcćčçdďđđgģğkķlłļnńñňņŋrřsśšşsßtťŧþţzżźžIVX])( )(:|;)( ){0,1}(\\(|\\[)(.)","\\1.\\2\\5\\U\\6",perl=TRUE,X246),
ifelse(grepl("(\\W)( )(:|;)( )(\\(|\\[)(.)",X246),gsub("(\\W)( )(:|;)( )(\\(|\\[)(.)","\\1\\2\\U\\5\\6",perl = TRUE,X246),
ifelse(grepl("([a-zaáàâãäăāåąæeéèêëěēėęiíìîïīįioóòôõöőøœuúùûüűūůyýcćčçdďđđgģğkķlłļnńñňņŋrřsśšşsßtťŧþţzżźžIVX])( )(:|;)( ){0,1}(.)",X246),gsub("([a-zaáàâãäăāåąæeéèêëěēėęiíìîïīįioóòôõöőøœuúùûüűūůyýcćčçdďđđgģğkķlłļnńñňņŋrřsśšşsßtťŧþţzżźžIVX])( )(:|;)( ){0,1}(.)","\\1.\\2\\U\\5",perl = TRUE,X246),
ifelse(grepl("(\\W)( )(:|;)( )(.)",X246),gsub("(\\W)( )(:|;)( )(.)","\\1\\2\\U\\5",perl = TRUE,X246),as.character(X246))))),
X246 = ifelse(grepl("([a-zaáàâãäăāåąæeéèêëěēėęiíìîïīįioóòôõöőøœuúùûüűūůyýcćčçdďđđgģğkķlłļnńñňņŋrřsśšşsßtťŧþţzżźžIVX])( )(:|;)( ){0,1}(\\(|\\[)(.)",X246),gsub("([a-zaáàâãäăāåąæeéèêëěēėęiíìîïīįioóòôõöőøœuúùûüűūůyýcćčçdďđđgģğkķlłļnńñňņŋrřsśšşsßtťŧþţzżźžIVX])( )(:|;)( ){0,1}(\\(|\\[)(.)","\\1.\\2\\5\\U\\6",perl=TRUE,X246),
ifelse(grepl("(\\W)( )(:|;)( )(\\(|\\[)(.)",X246),gsub("(\\W)( )(:|;)( )(\\(|\\[)(.)","\\1\\2\\U\\5\\6",perl = TRUE,X246),
ifelse(grepl("([a-zaáàâãäăāåąæeéèêëěēėęiíìîïīįioóòôõöőøœuúùûüűūůyýcćčçdďđđgģğkķlłļnńñňņŋrřsśšşsßtťŧþţzżźžIVX])( )(:|;)( ){0,1}(.)",X246),gsub("([a-zaáàâãäăāåąæeéèêëěēėęiíìîïīįioóòôõöőøœuúùûüűūůyýcćčçdďđđgģğkķlłļnńñňņŋrřsśšşsßtťŧþţzżźžIVX])( )(:|;)( ){0,1}(.)","\\1.\\2\\U\\5",perl = TRUE,X246),
ifelse(grepl("(\\W)( )(:|;)( ){0,1}(.)",X246),gsub("(\\W)( )(:|;)( ){0,1}(.)","\\1\\2\\U\\5",perl = TRUE,X246),as.character(X246))))),
X246 = str_replace_all(X246,"\\.{3} \\.{3}","... "),
X246 = gsub("( : )(.)",". \\U\\2",perl=TRUE,X246)) %>%
select(ZA_UWAGI, X246)
}
#pole 500
marc_field_500 <- data %>%
select(ZA_UWAGI,X500)%>%
filter(X500!="") %>%
mutate(X500=str_remove_all(X500,"~"),
X500=str_replace_all(X500,"(^|\\|)","~\\1")) %>%
cSplit(.,"X500",sep = "~",direction = "long") %>%
filter(X500!="") %>%
mutate(X500=str_remove_all(X500,"^\\|")) %>%
mutate(indicator = str_replace_all(X500,"(^.*?)(\\$.*)","\\1"))
subfield_list<- str_extract_all(data$X500,"\\$.")
subfield_list<- unique(unlist(subfield_list))
empty_table<- data.frame(matrix(ncol = length(subfield_list),nrow = lengths(marc_field_500)[1]))
colnames(empty_table) <-subfield_list
marc_field_500<-cbind(marc_field_500,empty_table)
subfield_list_char <- paste("(",subfield_list,")",sep = "")
subfield_list_char <- str_replace_all(subfield_list_char,"\\$","\\\\$")
x <- 1:length(subfield_list)
for (i in x) {
progress(match(i,x), max.value = length(x))
marc_field_500$X500 <- str_replace(marc_field_500$X500,subfield_list_char[i],"|\\1")
}Progress: 1 on 1 for (i in x) {
progress(match(i,x), max.value = length(x))
subfield_list_char2 <- str_replace_all(subfield_list,"\\$","\\\\$")
string_a <- "(^)(.*?\\|"
string_b <- subfield_list_char2[i]
string_c <- ")(.*?)(\\,{0,1})((\\|\\$)(.*)|$)"
string <- paste(string_a,string_b,string_c,sep = "")
marc_field_500[,i+3] <- ifelse(grepl(subfield_list_char2[i],marc_field_500$X500),str_replace_all(gsub(string,"\\3",marc_field_500$X500),"\\${2}.", "~"),NA)
}Progress: 1 on 1 marc_field_500 <- marc_field_500 %>%
filter(grepl("oryg\\.\\:",X500)) %>%
mutate(X500 = str_remove(`$a`,"^Tyt\\. oryg\\.: |^Tyt\\, oryg\\.: |^.*?tyt\\. oryg\\.: "),
X500 = str_remove(X500, "\\s+\\/\\s{0,}$"),
X500 = ifelse(grepl("([a-zaáàâãäăāåąæeéèêëěēėęiíìîïīįioóòôõöőøœuúùûüűūůyýcćčçdďđđgģğkķlłļnńñňņŋrřsśšşsßtťŧþţzżźžIVX])( )(:|;)( )(\\(|\\[)(.)",X500),gsub("([a-zaáàâãäăāåąæeéèêëěēėęiíìîïīįioóòôõöőøœuúùûüűūůyýcćčçdďđđgģğkķlłļnńñňņŋrřsśšşsßtťŧþţzżźžIVX])( )(:|;)( )(\\(|\\[)(.)","\\1.\\2\\5\\U\\6",perl=TRUE,X500),
ifelse(grepl("(\\W)( )(:|;)( )(\\(|\\[)(.)",X500),gsub("(\\W)( )(:|;)( )(\\(|\\[)(.)","\\1\\2\\U\\5\\6",perl = TRUE,X500),
ifelse(grepl("([a-zaáàâãäăāåąæeéèêëěēėęiíìîïīįioóòôõöőøœuúùûüűūůyýcćčçdďđđgģğkķlłļnńñňņŋrřsśšşsßtťŧþţzżźžIVX])( )(:|;)( )(.)",X500),gsub("([a-zaáàâãäăāåąæeéèêëěēėęiíìîïīįioóòôõöőøœuúùûüűūůyýcćčçdďđđgģğkķlłļnńñňņŋrřsśšşsßtťŧþţzżźžIVX])( )(:|;)( )(.)","\\1.\\2\\U\\5",perl = TRUE,X500),
ifelse(grepl("(\\W)( )(:|;)( )(.)",X500),gsub("(\\W)( )(:|;)( )(.)","\\1\\2\\U\\5",perl = TRUE,X500),as.character(X500))))),
X500 = ifelse(grepl("([a-zaáàâãäăāåąæeéèêëěēėęiíìîïīįioóòôõöőøœuúùûüűūůyýcćčçdďđđgģğkķlłļnńñňņŋrřsśšşsßtťŧþţzżźžIVX])( )(:|;)( )(\\(|\\[)(.)",X500),gsub("([a-zaáàâãäăāåąæeéèêëěēėęiíìîïīįioóòôõöőøœuúùûüűūůyýcćčçdďđđgģğkķlłļnńñňņŋrřsśšşsßtťŧþţzżźžIVX])( )(:|;)( )(\\(|\\[)(.)","\\1.\\2\\5\\U\\6",perl=TRUE,X500),
ifelse(grepl("(\\W)( )(:|;)( )(\\(|\\[)(.)",X500),gsub("(\\W)( )(:|;)( )(\\(|\\[)(.)","\\1\\2\\U\\5\\6",perl = TRUE,X500),
ifelse(grepl("([a-zaáàâãäăāåąæeéèêëěēėęiíìîïīįioóòôõöőøœuúùûüűūůyýcćčçdďđđgģğkķlłļnńñňņŋrřsśšşsßtťŧþţzżźžIVX])( )(:|;)( )(.)",X500),gsub("([a-zaáàâãäăāåąæeéèêëěēėęiíìîïīįioóòôõöőøœuúùûüűūůyýcćčçdďđđgģğkķlłļnńñňņŋrřsśšşsßtťŧþţzżźžIVX])( )(:|;)( )(.)","\\1.\\2\\U\\5",perl = TRUE,X500),
ifelse(grepl("(\\W)( )(:|;)( )(.)",X500),gsub("(\\W)( )(:|;)( )(.)","\\1\\2\\U\\5",perl = TRUE,X500),as.character(X500))))),
X500 = str_replace_all(X500,"\\.{3} \\.{3}","... "),
X500 = str_remove(X500, "\\.$"),
X500 = str_remove(X500,"(,{0,1} {0,1})\\d{4}.*$|(, t|. T)yt. oryg. cyklu:")) %>%
select(ZA_UWAGI,X500)
#tytuł oryginału
za_tytul_oryginalu <- data %>%
select(ZA_UWAGI) %>%
left_join(.,marc_field_246,by="ZA_UWAGI") %>%
left_join(.,marc_field_500,by="ZA_UWAGI") %>%
mutate(X500 = ifelse(is.na(X500),NA,
ifelse(grepl("oryg",X500),NA,as.character(X500))),
X500 = ifelse(!is.na(X500)&grepl("\\. - ",X500),str_replace(X500,"(.*?)(\\. - .*$)","\\1"),as.character(X500)),
X500 = ifelse(!is.na(X500)&grepl("Na książce pseud",X500),str_replace(X500,"(.*?)(\\. Na książce pseud.*$)","\\1"),as.character(X500)),
X500 = ifelse(!is.na(X500)&grepl("Przekł\\. wg",X500),str_replace(X500,"(.*?)(\\. Przekł\\. wg.*$)","\\1"),as.character(X500)),
ZA_TYTUL_ORYGINALU = ifelse(is.na(X246)&is.na(X500),NA,
ifelse(!is.na(X500),as.character(X500),as.character(X246))),
ZA_TYTUL_ORYGINALU = str_remove_all(ZA_TYTUL_ORYGINALU,'\\"')) %>%
select(ZA_UWAGI,ZA_TYTUL_ORYGINALU)
#5: język oryginału
marc_field_041 <- data %>%
select(ZA_UWAGI,X041)%>%
filter(X041!="") %>%
mutate(X041=str_replace_all(X041,"(^|\\|)","~\\1")) %>%
cSplit(.,"X041",sep = "~",direction = "long") %>%
filter(X041!="") %>%
mutate(X041=str_remove_all(X041,"^\\|")) %>%
mutate(indicator = str_replace_all(X041,"(^.*?)(\\$.*)","\\1"))
subfield_list<- str_extract_all(data$X041,"\\$.")
subfield_list<- unique(unlist(subfield_list))
empty_table<- data.frame(matrix(ncol = length(subfield_list),nrow = lengths(marc_field_041)[1]))
colnames(empty_table) <-subfield_list
marc_field_041<-cbind(marc_field_041,empty_table)
subfield_list_char <- paste("(",subfield_list,")",sep = "")
subfield_list_char <- str_replace_all(subfield_list_char,"\\$","\\\\$")
x <- 1:length(subfield_list)
for (i in x) {
progress(match(i,x), max.value = length(x))
marc_field_041$X041 <- str_replace(marc_field_041$X041,subfield_list_char[i],"|\\1")
}Progress: 1 on 5 Progress: 2 on 5 Progress: 3 on 5 Progress: 4 on 5 Progress: 5 on 5 for (i in x) {
progress(match(i,x), max.value = length(x))
subfield_list_char2 <- str_replace_all(subfield_list,"\\$","\\\\$")
string_a <- "(^)(.*?\\|"
string_b <- subfield_list_char2[i]
string_c <- ")(.*?)(\\,{0,1})((\\|\\$)(.*)|$)"
string <- paste(string_a,string_b,string_c,sep = "")
marc_field_041[,i+3] <- ifelse(grepl(subfield_list_char2[i],marc_field_041$X041),str_replace_all(gsub(string,"\\3",marc_field_041$X041),"\\${2}.", "~"),NA)
}Progress: 1 on 5 Progress: 2 on 5 Progress: 3 on 5 Progress: 4 on 5 Progress: 5 on 5 za_jezyk_oryginalu <- data %>%
select(ZA_UWAGI) %>%
left_join(.,marc_field_041 %>% select(ZA_UWAGI,ZA_JEZYK_ORYGINALU = `$a`),by="ZA_UWAGI") %>%
mutate(ZA_JEZYK_ORYGINALU = str_replace_all(ZA_JEZYK_ORYGINALU,"\\$a",",")) %>%
unique()
#6: współtwórcy
marc_field_700 <- data %>%
select(ZA_UWAGI,X700)%>%
filter(X700!="") %>%
mutate(X700=str_replace_all(X700,"(..\\$a)","|\\1"),
X700=str_replace_all(X700,"(^|\\|)","~\\1")) %>%
cSplit(.,"X700",sep = "~",direction = "long") %>%
filter(X700!="") %>%
mutate(X700=str_remove_all(X700,"^\\|")) %>%
mutate(indicator = str_replace_all(X700,"(^.*?)(\\$.*)","\\1")) %>%
filter(X700!="")
subfield_list<- str_extract_all(data$X700,"\\$.")
subfield_list<- unique(unlist(subfield_list))
empty_table<- data.frame(matrix(ncol = length(subfield_list),nrow = lengths(marc_field_700)[1]))
colnames(empty_table) <-subfield_list
marc_field_700<-cbind(marc_field_700,empty_table)
subfield_list_char <- paste("(",subfield_list,")",sep = "")
subfield_list_char <- str_replace_all(subfield_list_char,"\\$","\\\\$")
x <- 1:length(subfield_list)
for (i in x) {
progress(match(i,x), max.value = length(x))
marc_field_700$X700 <- str_replace(marc_field_700$X700,subfield_list_char[i],"|\\1")
}Progress: 1 on 5 Progress: 2 on 5 Progress: 3 on 5 Progress: 4 on 5 Progress: 5 on 5 for (i in x) {
progress(match(i,x), max.value = length(x))
subfield_list_char2 <- str_replace_all(subfield_list,"\\$","\\\\$")
string_a <- "(^)(.*?\\|"
string_b <- subfield_list_char2[i]
string_c <- ")(.*?)(\\,{0,1})((\\|\\$)(.*)|$)"
string <- paste(string_a,string_b,string_c,sep = "")
marc_field_700[,i+3] <- ifelse(grepl(subfield_list_char2[i],marc_field_700$X700),str_replace_all(gsub(string,"\\3",marc_field_700$X700),"\\${2}.", "~"),NA)
}Progress: 1 on 5 Progress: 2 on 5 Progress: 3 on 5 Progress: 4 on 5 Progress: 5 on 5 BN_wspoltworca <- marc_field_700 %>%
select(ZA_UWAGI,osoba = `$a`,funkcja = `$e`) %>%
filter(!is.na(funkcja)) %>%
mutate(osoba = str_remove(osoba,"(?<=[a-zaáàâãäăāåąæeéèêëěēėęiíìîïīįioóòôõöőøœuúùûüűūůyýcćčçdďđđgģğkķlłļnńñňņŋrřsśšşsßtťŧþţzżźž])(\\.$)"),
OS_NAZWISKO = ifelse(grepl(",",osoba),str_replace_all(osoba,"(.*?)(, )(.*)","\\1"),as.character(osoba)),
OS_IMIE = ifelse(grepl(",",osoba),str_replace_all(osoba,"(.*?)(, )(.*)","\\3"),"*"),
ws_prosty = str_replace_all(str_to_lower(osoba), "\\W", ""),
fu_prosta = str_replace_all(str_to_lower(funkcja), "\\W", "")) %>%
left_join(.,PBL_wspoltworcy %>% select(OS_OSOBA_ID,OS_LICZBA_ZAPISOW,nazwa_prosta),by=c("ws_prosty"="nazwa_prosta")) %>%
arrange(ZA_UWAGI,OS_NAZWISKO,OS_IMIE,-OS_LICZBA_ZAPISOW)
BN_wspoltworca$id_grupy <- cumsum(!duplicated(BN_wspoltworca[1:2]))
BN_wspoltworca <- BN_wspoltworca[!duplicated(BN_wspoltworca$id_grupy),] %>%
left_join(.,PBL_funkcje,by=c("fu_prosta"="nazwa")) %>%
mutate(fo_symbol = ifelse(fo_symbol=="NULL",NA,as.character(fo_symbol))) %>%
select(ZA_UWAGI,OS_NAZWISKO,OS_IMIE,OS_OSOBA_ID,fo_symbol,fo_nazwa,funkcja)
#tutaj przeszukać X245 i znaleźć błędy współtwórców
marc_field_245 <- data %>%
select(ZA_UWAGI,X245)%>%
filter(X245!="") %>%
mutate(X245=str_remove_all(X245,"~"),
X245=str_replace_all(X245,"(^|\\|)","~\\1")) %>%
cSplit(.,"X245",sep = "~",direction = "long") %>%
filter(X245!="") %>%
mutate(X245=str_remove_all(X245,"^\\|")) %>%
mutate(indicator = str_replace_all(X245,"(^.*?)(\\$.*)","\\1"))
subfield_list<- str_extract_all(data$X245,"\\$.")
subfield_list<- unique(unlist(subfield_list))
empty_table<- data.frame(matrix(ncol = length(subfield_list),nrow = lengths(marc_field_245)[1]))
colnames(empty_table) <-subfield_list
marc_field_245<-cbind(marc_field_245,empty_table)
subfield_list_char <- paste("(",subfield_list,")",sep = "")
subfield_list_char <- str_replace_all(subfield_list_char,"\\$","\\\\$")
x <- 1:length(subfield_list)
for (i in x) {
progress(match(i,x), max.value = length(x))
marc_field_245$X245 <- str_replace(marc_field_245$X245,subfield_list_char[i],"|\\1")
}Progress: 1 on 5 Progress: 2 on 5 Progress: 3 on 5 Progress: 4 on 5 Progress: 5 on 5 for (i in x) {
progress(match(i,x), max.value = length(x))
subfield_list_char2 <- str_replace_all(subfield_list,"\\$","\\\\$")
string_a <- "(^)(.*?\\|"
string_b <- subfield_list_char2[i]
string_c <- ")(.*?)(\\,{0,1})((\\|\\$)(.*)|$)"
string <- paste(string_a,string_b,string_c,sep = "")
marc_field_245[,i+3] <- ifelse(grepl(subfield_list_char2[i],marc_field_245$X245),str_replace_all(gsub(string,"\\3",marc_field_245$X245),"\\${2}.", "~"),NA)
}Progress: 1 on 5 Progress: 2 on 5 Progress: 3 on 5 Progress: 4 on 5 Progress: 5 on 5 marc_field_245 <- marc_field_245 %>%
select(ZA_UWAGI,X245c=`$c`)
BN_wspoltworca <- BN_wspoltworca %>%
left_join(.,marc_field_245,by="ZA_UWAGI")
x <- 1:lengths(BN_wspoltworca[1])
for (i in x) {
progress(match(i,x), max.value = length(x))
BN_wspoltworca$czy_nazwisko[i] <- str_detect(BN_wspoltworca$X245c[i],BN_wspoltworca$OS_NAZWISKO[i])
BN_wspoltworca$czy_imie[i] <- grepl(BN_wspoltworca$OS_IMIE[i],BN_wspoltworca$X245c[i])
}Progress: 1 on 456 Progress: 2 on 456 Progress: 3 on 456 Progress: 4 on 456 Progress: 5 on 456 Progress: 6 on 456 Progress: 7 on 456 Progress: 8 on 456 Progress: 9 on 456 Progress: 10 on 456 Progress: 11 on 456 Progress: 12 on 456 Progress: 13 on 456 Progress: 14 on 456 Progress: 15 on 456 Progress: 16 on 456 Progress: 17 on 456 Progress: 18 on 456 Progress: 19 on 456 Progress: 20 on 456 Progress: 21 on 456 Progress: 22 on 456 Progress: 23 on 456 Progress: 24 on 456 Progress: 25 on 456 Progress: 26 on 456 Progress: 27 on 456 Progress: 28 on 456 Progress: 29 on 456 Progress: 30 on 456 Progress: 31 on 456 Progress: 32 on 456 Progress: 33 on 456 Progress: 34 on 456 Progress: 35 on 456 Progress: 36 on 456 Progress: 37 on 456 Progress: 38 on 456 Progress: 39 on 456 Progress: 40 on 456 Progress: 41 on 456 Progress: 42 on 456 Progress: 43 on 456 Progress: 44 on 456 Progress: 45 on 456 Progress: 46 on 456 Progress: 47 on 456 Progress: 48 on 456 Progress: 49 on 456 Progress: 50 on 456 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mutate(ZA_ADNOTACJE = ifelse(czy_nazwisko==FALSE|czy_imie==FALSE,paste("UWAGA! Konflikt w danych osobowych w polach 700 i 245. Porównaj pola współtórców w formularzu z polem BN: ",X245c,sep = ""),NA)) %>%
select(ZA_UWAGI,OS_NAZWISKO,OS_IMIE,OS_OSOBA_ID,fo_symbol,fo_nazwa,funkcja,ZA_ADNOTACJE)
#7: opis współtwórców
opis_wspoltworcow <- BN_wspoltworca %>%
select(ZA_UWAGI,funkcja,OS_IMIE,OS_NAZWISKO) %>%
full_join(.,marc_field_245,by="ZA_UWAGI") %>%
filter(!is.na(OS_NAZWISKO)|(is.na(OS_NAZWISKO)&grepl("et al\\.",X245c))) %>%
mutate(jest_et_al = grepl("et al\\.",X245c),
OS_IMIE = ifelse(OS_IMIE=="*","",as.character(OS_IMIE)),
opis = ifelse(!is.na(OS_NAZWISKO),paste(funkcja,OS_IMIE, OS_NAZWISKO, sep = " "),""),
opis = str_replace_all(opis," +"," "),
opis = ifelse(opis==" ","",as.character(opis))) %>%
select(ZA_UWAGI,opis,jest_et_al) %>%
group_by(ZA_UWAGI) %>%
mutate(opis = paste(opis,collapse = ", "),
jest_et_al = paste(unique(jest_et_al),sep = "")) %>%
ungroup() %>%
unique() %>%
mutate(opis = ifelse(jest_et_al==TRUE&opis=="","et al.",
ifelse(jest_et_al,paste(opis,"et al.",sep = " "),opis))) %>%
select(ZA_UWAGI,opis)
#700
marc_field_700 <- data %>%
select(ZA_UWAGI,X700)%>%
filter(X700!="") %>%
mutate(X700=str_replace_all(X700,"(..\\$a)","|\\1"),
X700=str_replace_all(X700,"(^|\\|)","~\\1")) %>%
cSplit(.,"X700",sep = "~",direction = "long") %>%
filter(X700!="") %>%
mutate(X700=str_remove_all(X700,"^\\|")) %>%
mutate(indicator = str_replace_all(X700,"(^.*?)(\\$.*)","\\1")) %>%
filter(X700!="")
subfield_list<- str_extract_all(data$X700,"\\$.")
subfield_list<- unique(unlist(subfield_list))
empty_table<- data.frame(matrix(ncol = length(subfield_list),nrow = lengths(marc_field_700)[1]))
colnames(empty_table) <-subfield_list
marc_field_700<-cbind(marc_field_700,empty_table)
subfield_list_char <- paste("(",subfield_list,")",sep = "")
subfield_list_char <- str_replace_all(subfield_list_char,"\\$","\\\\$")
x <- 1:length(subfield_list)
for (i in x) {
progress(match(i,x), max.value = length(x))
marc_field_700$X700 <- str_replace(marc_field_700$X700,subfield_list_char[i],"|\\1")
}Progress: 1 on 5 Progress: 2 on 5 Progress: 3 on 5 Progress: 4 on 5 Progress: 5 on 5 for (i in x) {
progress(match(i,x), max.value = length(x))
subfield_list_char2 <- str_replace_all(subfield_list,"\\$","\\\\$")
string_a <- "(^)(.*?\\|"
string_b <- subfield_list_char2[i]
string_c <- ")(.*?)(\\,{0,1})((\\|\\$)(.*)|$)"
string <- paste(string_a,string_b,string_c,sep = "")
marc_field_700[,i+3] <- ifelse(grepl(subfield_list_char2[i],marc_field_700$X700),str_replace_all(gsub(string,"\\3",marc_field_700$X700),"\\${2}.", "~"),NA)
}Progress: 1 on 5 Progress: 2 on 5 Progress: 3 on 5 Progress: 4 on 5 Progress: 5 on 5 marc_field_700 <- marc_field_700 %>%
select(ZA_UWAGI,osoba = `$a`,funkcja = `$e`) %>%
filter(!is.na(funkcja)) %>%
mutate(osoba = str_remove(osoba,"(?<=[a-zaáàâãäăāåąæeéèêëěēėęiíìîïīįioóòôõöőøœuúùûüűūůyýcćčçdďđđgģğkķlłļnńñňņŋrřsśšşsßtťŧþţzżźž])(\\.$)"),
OS_NAZWISKO = ifelse(grepl(",",osoba),str_replace_all(osoba,"(.*?)(, )(.*)","\\1"),as.character(osoba)),
OS_IMIE = ifelse(grepl(",",osoba),str_replace_all(osoba,"(.*?)(, )(.*)","\\3"),"*"),
funkcja_duza = str_to_lower(funkcja),
opis = paste(funkcja_duza,OS_IMIE,OS_NAZWISKO, sep = " "),
opis_duzy = paste(funkcja,OS_IMIE,OS_NAZWISKO, sep = " ")) %>%
select(ZA_UWAGI,opis,opis_duzy) %>%
group_by(ZA_UWAGI) %>%
mutate(opis = paste(opis,collapse = ". "),
opis_duzy = paste(opis_duzy,collapse = ". ")) %>%
ungroup() %>%
unique()
#opis współtwórców ze strefy odpowiedzialności 245
marc_field_245 <- data %>%
select(ZA_UWAGI,X245)%>%
filter(X245!="") %>%
mutate(X245=str_remove_all(X245,"~"),
X245=str_replace_all(X245,"(^|\\|)","~\\1")) %>%
cSplit(.,"X245",sep = "~",direction = "long") %>%
filter(X245!="") %>%
mutate(X245=str_remove_all(X245,"^\\|")) %>%
mutate(indicator = str_replace_all(X245,"(^.*?)(\\$.*)","\\1"))
subfield_list<- str_extract_all(data$X245,"\\$.")
subfield_list<- unique(unlist(subfield_list))
empty_table<- data.frame(matrix(ncol = length(subfield_list),nrow = lengths(marc_field_245)[1]))
colnames(empty_table) <-subfield_list
marc_field_245<-cbind(marc_field_245,empty_table)
subfield_list_char <- paste("(",subfield_list,")",sep = "")
subfield_list_char <- str_replace_all(subfield_list_char,"\\$","\\\\$")
x <- 1:length(subfield_list)
for (i in x) {
progress(match(i,x), max.value = length(x))
marc_field_245$X245 <- str_replace(marc_field_245$X245,subfield_list_char[i],"|\\1")
}Progress: 1 on 5 Progress: 2 on 5 Progress: 3 on 5 Progress: 4 on 5 Progress: 5 on 5 for (i in x) {
progress(match(i,x), max.value = length(x))
subfield_list_char2 <- str_replace_all(subfield_list,"\\$","\\\\$")
string_a <- "(^)(.*?\\|"
string_b <- subfield_list_char2[i]
string_c <- ")(.*?)(\\,{0,1})((\\|\\$)(.*)|$)"
string <- paste(string_a,string_b,string_c,sep = "")
marc_field_245[,i+3] <- ifelse(grepl(subfield_list_char2[i],marc_field_245$X245),str_replace_all(gsub(string,"\\3",marc_field_245$X245),"\\${2}.", "~"),NA)
}Progress: 1 on 5 Progress: 2 on 5 Progress: 3 on 5 Progress: 4 on 5 Progress: 5 on 5 marc_field_245 <- marc_field_245 %>%
select(ZA_UWAGI,`$c`)
#porównanie opisu współtwórców z 245 i 700
wspoltworcy <- marc_field_700 %>%
full_join(.,marc_field_245,by="ZA_UWAGI") %>%
cSplit(.,"$c",sep = " ; ",direction = "long") %>%
#ograniczanie osób ze strefy odpowiedzialności
mutate(czy_mala = grepl(" [a-zęóąśłżźćń]|^[a-zęóąśłżźćń]|\\[[a-zęóąśłżźćń]",`$c`,ignore.case = FALSE)) %>%
filter(czy_mala==TRUE) %>%
select(-czy_mala) %>%
#mutate(`$c` = gsub("^(\\[){0,1}([a-zaáàâãäăāåąæeéèêëěēėęiíìîïīįioóòôõöőøœuúùûüűūůyýcćčçdďđđgģğkķlłļnńñňņŋrřsśšşsßtťŧþţzżźž])","\\1\\U\\2",perl = TRUE,`$c`)) %>%
group_by(ZA_UWAGI) %>%
mutate(X245 = paste(`$c`, collapse = ", ")) %>%
select(-`$c`) %>%
unique() %>%
mutate(order_pbl = as.character(str_extract_all(opis,"(?<=^| |\\[|-)([A-ZAÁÀÂÃÄĂĀÅĄÆEÉÈÊËĚĒĖĘIÍÌÎÏĪĮIOÓÒÔÕÖŐØŒUÚÙÛÜŰŪůYÝCĆČçDĎĐĐGĢĞKĶLŁĻNŃÑŇŅŊRŘSŚŠŞSßTŤŦÞŢ8ZŻŹŽa-zaáàâãäăāåąæeéèêëěēėęiíìîïīįioóòôõöőøœuúùûüűūůyýcćčçdďđđgģğkķlłļnńñňņŋrřsśšşsßtťŧþţzżźž])")),
order_pbl = str_replace_all(order_pbl,"(.*?\")(.)(\".*?.)", "\\2"),
order_bn = as.character(str_extract_all(X245,"(?<=^| |\\[|-)([A-ZAÁÀÂÃÄĂĀÅĄÆEÉÈÊËĚĒĖĘIÍÌÎÏĪĮIOÓÒÔÕÖŐØŒUÚÙÛÜŰŪůYÝCĆČçDĎĐĐGĢĞKĶLŁĻNŃÑŇŅŊRŘSŚŠŞSßTŤŦÞŢ8ZŻŹŽa-zaáàâãäăāåąæeéèêëěēėęiíìîïīįioóòôõöőøœuúùûüűūůyýcćčçdďđđgģğkķlłļnńñňņŋrřsśšşsßtťŧþţzżźž])")),
order_bn = str_replace_all(order_bn,"(.*?\")(.)(\".*?.)", "\\2"),
X245 = str_remove(X245, "\\.$"),
X245 = str_remove(X245, "\\["),
X245 = str_remove(X245, "\\]"),
order_pbl = str_remove_all(order_pbl, "[a-zaáàâãäăāåąæeéèêëěēėęiíìîïīįioóòôõöőøœuúùûüűūůyýcćčçdďđđgģğkķlłļnńñňņŋrřsśšşsßtťŧþţzżźž]"),
order_bn = str_remove_all(order_bn, "[a-zaáàâãäăāåąæeéèêëěēėęiíìîïīįioóòôõöőøœuúùûüűūůyýcćčçdďđđgģğkķlłļnńñňņŋrřsśšşsßtťŧþţzżźž]"),
to_samo = order_pbl==order_bn,
X245 = gsub("(^[a-zaáàâãäăāåąæeéèêëěēėęiíìîïīįioóòôõöőøœuúùûüűūůyýcćčçdďđđgģğkķlłļnńñňņŋrřsśšşsßtťŧþţzżźž])(.*)","\\U\\1\\E\\2",perl = TRUE, X245)) %>%
left_join(.,za_jezyk_oryginalu,by="ZA_UWAGI") %>%
mutate(czy_pl = grepl("pol",ZA_JEZYK_ORYGINALU)|is.na(ZA_JEZYK_ORYGINALU),
decyzja = ifelse(to_samo==FALSE|czy_pl==FALSE,FALSE,TRUE))
za_opis_wspoltworcow <- wspoltworcy %>%
mutate(za_opis_wspoltworcow = ifelse(decyzja==TRUE,as.character(X245),paste(X245,opis_duzy,sep = "#"))) %>%
select(ZA_UWAGI,opis_duzy,za_opis_wspoltworcow) %>%
cSplit(.,"za_opis_wspoltworcow",sep = "#",direction = "wide") %>%
mutate(za_opis_wspoltworcow_2 = ifelse(is.na(za_opis_wspoltworcow_2),'',as.character(za_opis_wspoltworcow_2)),
to_samo = za_opis_wspoltworcow_1==za_opis_wspoltworcow_2) %>%
filter(to_samo==FALSE) %>%
group_by(ZA_UWAGI) %>%
mutate(za_opis_wspoltworcow = paste(za_opis_wspoltworcow_1,za_opis_wspoltworcow_2,sep = "#"),
za_opis_wspoltworcow = str_remove_all(za_opis_wspoltworcow,"\\#$")) %>%
select(ZA_UWAGI,za_opis_wspoltworcow)
opis_wspoltworcow <- opis_wspoltworcow %>%
filter(ZA_UWAGI %notin% za_opis_wspoltworcow$ZA_UWAGI) %>%
filter(!is.na(opis)) %>%
rename(za_opis_wspoltworcow = opis)
za_opis_wspoltworcow <- za_opis_wspoltworcow %>%
bind_rows(.,opis_wspoltworcow) %>%
right_join(.,data %>% select(ZA_UWAGI),by="ZA_UWAGI")
#8 wydanie
marc_field_250 <- data %>%
select(ZA_UWAGI,X250)%>%
filter(X250!="") %>%
mutate(X250=str_replace_all(X250,"(^|\\|)","~\\1")) %>%
cSplit(.,"X250",sep = "~",direction = "long") %>%
filter(X250!="") %>%
mutate(X250=str_remove_all(X250,"^\\|")) %>%
mutate(indicator = str_replace_all(X250,"(^.*?)(\\$.*)","\\1"))
subfield_list<- str_extract_all(data$X250,"\\$.")
subfield_list<- unique(unlist(subfield_list))
empty_table<- data.frame(matrix(ncol = length(subfield_list),nrow = lengths(marc_field_250)[1]))
colnames(empty_table) <-subfield_list
marc_field_250<-cbind(marc_field_250,empty_table)
subfield_list_char <- paste("(",subfield_list,")",sep = "")
subfield_list_char <- str_replace_all(subfield_list_char,"\\$","\\\\$")
x <- 1:length(subfield_list)
for (i in x) {
progress(match(i,x), max.value = length(x))
marc_field_250$X250 <- str_replace(marc_field_250$X250,subfield_list_char[i],"|\\1")
}Progress: 1 on 1 for (i in x) {
progress(match(i,x), max.value = length(x))
subfield_list_char2 <- str_replace_all(subfield_list,"\\$","\\\\$")
string_a <- "(^)(.*?\\|"
string_b <- subfield_list_char2[i]
string_c <- ")(.*?)(\\,{0,1})((\\|\\$)(.*)|$)"
string <- paste(string_a,string_b,string_c,sep = "")
marc_field_250[,i+3] <- ifelse(grepl(subfield_list_char2[i],marc_field_250$X250),str_replace_all(gsub(string,"\\3",marc_field_250$X250),"\\${2}.", "~"),NA)
}Progress: 1 on 1 za_wydanie <- marc_field_250 %>%
select(ZA_UWAGI, wydanie = `$a`) %>%
mutate(wydanie = str_remove(wydanie," \\/$")) %>%
right_join(.,data %>% select(ZA_UWAGI),by="ZA_UWAGI")
#9: instytucja sprawcza
marc_field_245 <- data %>%
select(ZA_UWAGI,X245)%>%
filter(X245!="") %>%
mutate(X245=str_remove_all(X245,"~"),
X245=str_replace_all(X245,"(^|\\|)","~\\1")) %>%
cSplit(.,"X245",sep = "~",direction = "long") %>%
filter(X245!="") %>%
mutate(X245=str_remove_all(X245,"^\\|")) %>%
mutate(indicator = str_replace_all(X245,"(^.*?)(\\$.*)","\\1"))
subfield_list<- str_extract_all(data$X245,"\\$.")
subfield_list<- unique(unlist(subfield_list))
empty_table<- data.frame(matrix(ncol = length(subfield_list),nrow = lengths(marc_field_245)[1]))
colnames(empty_table) <-subfield_list
marc_field_245<-cbind(marc_field_245,empty_table)
subfield_list_char <- paste("(",subfield_list,")",sep = "")
subfield_list_char <- str_replace_all(subfield_list_char,"\\$","\\\\$")
x <- 1:length(subfield_list)
for (i in x) {
progress(match(i,x), max.value = length(x))
marc_field_245$X245 <- str_replace(marc_field_245$X245,subfield_list_char[i],"|\\1")
}Progress: 1 on 5 Progress: 2 on 5 Progress: 3 on 5 Progress: 4 on 5 Progress: 5 on 5 for (i in x) {
progress(match(i,x), max.value = length(x))
subfield_list_char2 <- str_replace_all(subfield_list,"\\$","\\\\$")
string_a <- "(^)(.*?\\|"
string_b <- subfield_list_char2[i]
string_c <- ")(.*?)(\\,{0,1})((\\|\\$)(.*)|$)"
string <- paste(string_a,string_b,string_c,sep = "")
marc_field_245[,i+3] <- ifelse(grepl(subfield_list_char2[i],marc_field_245$X245),str_replace_all(gsub(string,"\\3",marc_field_245$X245),"\\${2}.", "~"),NA)
}Progress: 1 on 5 Progress: 2 on 5 Progress: 3 on 5 Progress: 4 on 5 Progress: 5 on 5 za_instytucja <- marc_field_245 %>%
select(ZA_UWAGI,X245c=`$c`) %>%
filter(!is.na(X245c)) %>%
mutate(instytucja = ifelse(grepl("\\;",X245c),str_replace_all(X245c, "(.*?)(\\;(?!.*\\;))( )+(.*?$)","\\4"),"")) %>%
left_join(.,BN_wspoltworca,by="ZA_UWAGI")
x <- 1:lengths(za_instytucja[1])
for (i in x) {
progress(match(i,x), max.value = length(x))
za_instytucja$czy_nazwisko[i] <- grepl(za_instytucja$OS_NAZWISKO[i],za_instytucja$X245c[i])
za_instytucja$czy_imie[i] <- grepl(za_instytucja$OS_IMIE[i],za_instytucja$X245c[i])
}Progress: 1 on 839 Progress: 2 on 839 Progress: 3 on 839 Progress: 4 on 839 Progress: 5 on 839 Progress: 6 on 839 Progress: 7 on 839 Progress: 8 on 839 Progress: 9 on 839 Progress: 10 on 839 Progress: 11 on 839 Progress: 12 on 839 Progress: 13 on 839 Progress: 14 on 839 Progress: 15 on 839 Progress: 16 on 839 Progress: 17 on 839 Progress: 18 on 839 Progress: 19 on 839 Progress: 20 on 839 Progress: 21 on 839 Progress: 22 on 839 Progress: 23 on 839 Progress: 24 on 839 Progress: 25 on 839 Progress: 26 on 839 Progress: 27 on 839 Progress: 28 on 839 Progress: 29 on 839 Progress: 30 on 839 Progress: 31 on 839 Progress: 32 on 839 Progress: 33 on 839 Progress: 34 on 839 Progress: 35 on 839 Progress: 36 on 839 Progress: 37 on 839 Progress: 38 on 839 Progress: 39 on 839 Progress: 40 on 839 Progress: 41 on 839 Progress: 42 on 839 Progress: 43 on 839 Progress: 44 on 839 Progress: 45 on 839 Progress: 46 on 839 Progress: 47 on 839 Progress: 48 on 839 Progress: 49 on 839 Progress: 50 on 839 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on 839 Progress: 814 on 839 Progress: 815 on 839 Progress: 816 on 839 Progress: 817 on 839 Progress: 818 on 839 Progress: 819 on 839 Progress: 820 on 839 Progress: 821 on 839 Progress: 822 on 839 Progress: 823 on 839 Progress: 824 on 839 Progress: 825 on 839 Progress: 826 on 839 Progress: 827 on 839 Progress: 828 on 839 Progress: 829 on 839 Progress: 830 on 839 Progress: 831 on 839 Progress: 832 on 839 Progress: 833 on 839 Progress: 834 on 839 Progress: 835 on 839 Progress: 836 on 839 Progress: 837 on 839 Progress: 838 on 839 Progress: 839 on 839 za_instytucja <- za_instytucja %>%
filter(is.na(czy_nazwisko)&is.na(czy_imie)) %>%
filter(instytucja!="") %>%
filter(!grepl("^\\[[a-zaáàâãäăāåąæeéèêëěēėęiíìîïīįioóòôõöőøœuúùûüűūůyýcćčçdďđđgģğkķlłļnńñňņŋrřsśšşsßtťŧþţzżźž]|^[a-zaáàâãäăāåąæeéèêëěēėęiíìîïīįioóòôõöőøœuúùûüűūůyýcćčçdďđđgģğkķlłļnńñňņŋrřsśšşsßtťŧþţzżźž]",instytucja)) %>%
mutate(instytucja = str_remove(instytucja,"\\.$")) %>%
select(ZA_UWAGI,instytucja) %>%
right_join(.,data %>% select(ZA_UWAGI),by="ZA_UWAGI")
#10: wydawnictwo
BN_wydawnictwo <- data %>%
select(ZA_UWAGI, X260) %>%
mutate(X260 = str_replace_all(X260,"s\\.n\\.", "b.w."),
X260 = str_replace_all(X260,"s\\.l\\.", "b.m."),
X260 = str_replace_all(X260,"S\\.l\\.", "b.m."),
X260 = str_remove(X260,"^\\\\+"),
rok_wydania = str_extract_all(X260, "(?<=\\$c).*(?=\\$e)|(?<=\\$c).*"),
bez_roku = str_replace_all(X260, ".\\$c.*", ""),
ile_wydawnictw = str_count(bez_roku, "\\$b"),
ile_miejsc = str_count(bez_roku, "\\$a"),
kolejnosc = str_replace_all(as.character(str_extract_all(bez_roku, "\\$.")), "[^a-z]", ""),
bez_roku = str_replace_all(bez_roku, ";\\$b", ":$b"),
wydaw_podziel = ifelse(ile_wydawnictw>ile_miejsc|kolejnosc=="caabb", str_replace_all(bez_roku, "(\\$a)(.*?)( :\\$b.*?)( :\\$b)", "\\1\\2\\3 ;$a\\2\\4"),bez_roku),
wydawnictwo_test = str_replace_all(wydaw_podziel, "(\\$b)(.*?)( ;\\$a)", "\\1\\2|\\3")) %>%
select(ZA_UWAGI,rok_wydania,wydawnictwo_test) %>%
cSplit(., "wydawnictwo_test", sep = "|", direction = "long") %>%
mutate(wydawnictwo = str_extract_all(wydawnictwo_test, "(?<=\\$b)(.*)"),
miejsce_wydania = str_replace_all(str_extract_all(wydawnictwo_test, "(?<=\\$a)(.*)(?= {0,1}: {0,1}\\$b)|(?<=\\$a)(.*)($)")," ;\\$a", ", "),
nazwa_prosta = str_to_lower(str_replace_all(str_replace_all(unlist(wydawnictwo_test), "\\$\\w", ""), "\\W", ""))) %>%
left_join(.,PBL_wydawnictwa,by="nazwa_prosta") %>%
mutate(to_samo = wydawnictwo==WY_NAZWA) %>%
arrange(ZA_UWAGI,-to_samo,-WY_LICZBA_ZAPISOW)
BN_wydawnictwo$id_grupy <- cumsum(!duplicated(BN_wydawnictwo[1:3]))
BN_wydawnictwo <- BN_wydawnictwo[!duplicated(BN_wydawnictwo$id_grupy),] %>%
mutate(WY_NAZWA = ifelse(!is.na(WY_NAZWA),as.character(WY_NAZWA),as.character(wydawnictwo)),
WY_MIASTO = ifelse(!is.na(WY_MIASTO),as.character(WY_MIASTO),as.character(miejsce_wydania)),
rok_wydania = str_replace_all(rok_wydania, "(.*)(\\.)", "\\1"),
za_rok_wydania = ifelse(nchar(rok_wydania)==4,as.character(rok_wydania),NA),
do_opisu = ifelse(is.na(za_rok_wydania),paste("[",str_extract(rok_wydania,"\\d{4}"),"]",sep = ""),""),
WY_MIASTO = ifelse(substr(WY_MIASTO,1,1)=="["&substr(WY_MIASTO,nchar(WY_MIASTO),nchar(WY_MIASTO))!="]"&is.na(WY_WYDAWNICTWO_ID),paste(trim(WY_MIASTO),"]",sep = ""),as.character(WY_MIASTO))) %>%
select(ZA_UWAGI,WY_WYDAWNICTWO_ID,WY_NAZWA,WY_MIASTO,za_rok_wydania,do_opisu)
#11: opis fizyczny książki
#pole 300 do opisu fizycznego
marc_field_300 <- data %>%
select(ZA_UWAGI,X300)%>%
filter(X300!="") %>%
mutate(X300=str_replace_all(X300,"(^|\\|)","~\\1")) %>%
cSplit(.,"X300",sep = "~",direction = "long") %>%
filter(X300!="") %>%
mutate(X300=str_remove_all(X300,"^\\|")) %>%
mutate(indicator = str_replace_all(X300,"(^.*?)(\\$.*)","\\1"))
subfield_list<- str_extract_all(data$X300,"\\$.")
subfield_list<- unique(unlist(subfield_list))
empty_table<- data.frame(matrix(ncol = length(subfield_list),nrow = lengths(marc_field_300)[1]))
colnames(empty_table) <-subfield_list
marc_field_300<-cbind(marc_field_300,empty_table)
subfield_list_char <- paste("(",subfield_list,")",sep = "")
subfield_list_char <- str_replace_all(subfield_list_char,"\\$","\\\\$")
x <- 1:length(subfield_list)
for (i in x) {
progress(match(i,x), max.value = length(x))
marc_field_300$X300 <- str_replace(marc_field_300$X300,subfield_list_char[i],"|\\1")
}Progress: 1 on 4 Progress: 2 on 4 Progress: 3 on 4 Progress: 4 on 4 for (i in x) {
progress(match(i,x), max.value = length(x))
subfield_list_char2 <- str_replace_all(subfield_list,"\\$","\\\\$")
string_a <- "(^)(.*?\\|"
string_b <- subfield_list_char2[i]
string_c <- ")(.*?)(\\,{0,1})((\\|\\$)(.*)|$)"
string <- paste(string_a,string_b,string_c,sep = "")
marc_field_300[,i+3] <- ifelse(grepl(subfield_list_char2[i],marc_field_300$X300),str_replace_all(gsub(string,"\\3",marc_field_300$X300),"\\${2}.", "~"),NA)
}Progress: 1 on 4 Progress: 2 on 4 Progress: 3 on 4 Progress: 4 on 4 marc_field_300 <- marc_field_300 %>%
mutate(`$a` = str_remove(`$a`," \\;+$| \\:+$"),
`$b` = str_remove(`$b`," \\;+$| \\:+$"),
`$e` = ifelse(grepl("CD-ROM|DVD|VCD|CD",`$e`)&grepl("\\+ dysk|płyt",`$e`),str_extract(`$e`,"(?<=\\+)(dysk|płyt.*?)(CD-ROM|DVD|VCD|CD)(\\)){0,1}"),
ifelse(grepl("CD-ROM|DVD|VCD|CD",`$e`),str_extract(`$e`,"(^.*?)(CD-ROM|DVD|VCD|CD)(\\)){0,1}"),NA)),
`$a` = ifelse(is.na(`$a`),"",as.character(`$a`)),
`$b` = ifelse(is.na(`$b`),"",as.character(`$b`)),
`$e` = ifelse(is.na(`$e`),"",as.character(`$e`)))
#pole 500 do opisu fizycznego
marc_field_500 <- data %>%
select(ZA_UWAGI,X500)%>%
filter(X500!="") %>%
mutate(X500=str_replace_all(X500,"(^|\\|)","~\\1")) %>%
cSplit(.,"X500",sep = "~",direction = "long") %>%
filter(X500!="") %>%
mutate(X500=str_remove_all(X500,"^\\|")) %>%
mutate(indicator = str_replace_all(X500,"(^.*?)(\\$.*)","\\1"))
subfield_list<- str_extract_all(data$X500,"\\$.")
subfield_list<- unique(unlist(subfield_list))
empty_table<- data.frame(matrix(ncol = length(subfield_list),nrow = lengths(marc_field_500)[1]))
colnames(empty_table) <-subfield_list
marc_field_500<-cbind(marc_field_500,empty_table)
subfield_list_char <- paste("(",subfield_list,")",sep = "")
subfield_list_char <- str_replace_all(subfield_list_char,"\\$","\\\\$")
x <- 1:length(subfield_list)
for (i in x) {
progress(match(i,x), max.value = length(x))
marc_field_500$X500 <- str_replace(marc_field_500$X500,subfield_list_char[i],"|\\1")
}Progress: 1 on 1 for (i in x) {
progress(match(i,x), max.value = length(x))
subfield_list_char2 <- str_replace_all(subfield_list,"\\$","\\\\$")
string_a <- "(^)(.*?\\|"
string_b <- subfield_list_char2[i]
string_c <- ")(.*?)(\\,{0,1})((\\|\\$)(.*)|$)"
string <- paste(string_a,string_b,string_c,sep = "")
marc_field_500[,i+3] <- ifelse(grepl(subfield_list_char2[i],marc_field_500$X500),str_replace_all(gsub(string,"\\3",marc_field_500$X500),"\\${2}.", "~"),NA)
}Progress: 1 on 1 marc_field_500 <- marc_field_500 %>%
filter(!grepl("oryg(\\.|\\,)",X500)&grepl("pseud|nazwa|dotycz|pol",X500,ignore.case = TRUE)) %>%
mutate(`$a` = str_remove(`$a`," \\;+$| \\:+$"))
#pole 546 do opisu fizycznego
marc_field_546 <- data %>%
select(ZA_UWAGI,X546)%>%
filter(X546!="") %>%
mutate(X546=str_replace_all(X546,"(^|\\|)","~\\1")) %>%
cSplit(.,"X546",sep = "~",direction = "long") %>%
filter(X546!="") %>%
mutate(X546=str_remove_all(X546,"^\\|")) %>%
mutate(indicator = str_replace_all(X546,"(^.*?)(\\$.*)","\\1"))
subfield_list<- str_extract_all(data$X546,"\\$.")
subfield_list<- unique(unlist(subfield_list))
empty_table<- data.frame(matrix(ncol = length(subfield_list),nrow = lengths(marc_field_546)[1]))
colnames(empty_table) <-subfield_list
marc_field_546<-cbind(marc_field_546,empty_table)
subfield_list_char <- paste("(",subfield_list,")",sep = "")
subfield_list_char <- str_replace_all(subfield_list_char,"\\$","\\\\$")
x <- 1:length(subfield_list)
for (i in x) {
progress(match(i,x), max.value = length(x))
marc_field_546$X546 <- str_replace(marc_field_546$X546,subfield_list_char[i],"|\\1")
}Progress: 1 on 1 for (i in x) {
progress(match(i,x), max.value = length(x))
subfield_list_char2 <- str_replace_all(subfield_list,"\\$","\\\\$")
string_a <- "(^)(.*?\\|"
string_b <- subfield_list_char2[i]
string_c <- ")(.*?)(\\,{0,1})((\\|\\$)(.*)|$)"
string <- paste(string_a,string_b,string_c,sep = "")
marc_field_546[,i+3] <- ifelse(grepl(subfield_list_char2[i],marc_field_546$X546),str_replace_all(gsub(string,"\\3",marc_field_546$X546),"\\${2}.", "~"),NA)
}Progress: 1 on 1 marc_field_546 <- marc_field_546 %>%
mutate(`$a` = str_remove(`$a`," \\;+$| \\:+$"))
za_opis_ks <- data %>%
select(ZA_UWAGI) %>%
left_join(.,BN_wydawnictwo %>% select(ZA_UWAGI,do_opisu),by="ZA_UWAGI") %>%
left_join(.,marc_field_300 %>% select(ZA_UWAGI,X300a=`$a`,X300b=`$b`,X300e=`$e`),by="ZA_UWAGI") %>%
left_join(.,marc_field_500 %>% select(ZA_UWAGI,X500a=`$a`),by="ZA_UWAGI") %>%
left_join(.,marc_field_546 %>% select(ZA_UWAGI,X546a=`$a`),by="ZA_UWAGI")
za_opis_ks[is.na(za_opis_ks)] <- ""
za_opis_ks <- za_opis_ks %>%
mutate(za_opis_ks = paste(ifelse(do_opisu!="",paste(as.character(do_opisu),", ",sep = ""),""),ifelse(X300a!="",paste(as.character(X300a),", ",sep = ""),""),ifelse(X300b!="",paste(as.character(X300b),", ",sep = ""),""),ifelse(X300e!="",paste(as.character(X300e),", ",sep = ""),""),ifelse(X500a!="",paste(as.character(X500a),", ",sep = ""),""),ifelse(X546a!="",as.character(X546a),""),sep = ""),
za_opis_ks = str_remove(za_opis_ks,"(, )+$")) %>%
select(ZA_UWAGI,za_opis_ks) %>%
unique() %>%
arrange(ZA_UWAGI,-nchar(za_opis_ks))
za_opis_ks$id_grupy <- cumsum(!duplicated(za_opis_ks[1]))
za_opis_ks <- za_opis_ks[!duplicated(za_opis_ks$id_grupy),] %>%
select(-id_grupy)
#12: seria wydawnicza
marc_field_490 <- data %>%
select(ZA_UWAGI,X490,X800,X830) %>%
mutate(X490 = ifelse(grepl("U\\+",X490),as.character(X830),as.character(X490))) %>%
mutate(X800 = ifelse(X490!="","",as.character(X800)),
X830 = ifelse(X490!="","",as.character(X830)),
X800 = str_replace(X800,"(\\$a)(.*)(\\$t)","\\1"),
X490 = ifelse(X490==""&X830!="",as.character(X830),
ifelse(X490==""&X800!="",as.character(X800),as.character(X490)))) %>%
select(ZA_UWAGI,X490) %>%
filter(X490!="") %>%
mutate(X490=str_replace_all(X490,"(^|\\|)","~\\1")) %>%
cSplit(.,"X490",sep = "~",direction = "long") %>%
filter(X490!="") %>%
mutate(X490=str_remove_all(X490,"^\\|")) %>%
mutate(indicator = str_replace_all(X490,"(^.*?)(\\$.*)","\\1"))
subfield_list<- str_extract_all(data$X490,"\\$.")
subfield_list<- unique(unlist(subfield_list))
empty_table<- data.frame(matrix(ncol = length(subfield_list),nrow = lengths(marc_field_490)[1]))
colnames(empty_table) <-subfield_list
marc_field_490<-cbind(marc_field_490,empty_table)
subfield_list_char <- paste("(",subfield_list,")",sep = "")
subfield_list_char <- str_replace_all(subfield_list_char,"\\$","\\\\$")
x <- 1:length(subfield_list)
for (i in x) {
progress(match(i,x), max.value = length(x))
marc_field_490$X490 <- str_replace(marc_field_490$X490,subfield_list_char[i],"|\\1")
}Progress: 1 on 3 Progress: 2 on 3 Progress: 3 on 3 for (i in x) {
progress(match(i,x), max.value = length(x))
subfield_list_char2 <- str_replace_all(subfield_list,"\\$","\\\\$")
string_a <- "(^)(.*?\\|"
string_b <- subfield_list_char2[i]
string_c <- ")(.*?)(\\,{0,1})((\\|\\$)(.*)|$)"
string <- paste(string_a,string_b,string_c,sep = "")
marc_field_490[,i+3] <- ifelse(grepl(subfield_list_char2[i],marc_field_490$X490),str_replace_all(gsub(string,"\\3",marc_field_490$X490),"\\${2}.", "~"),NA)
}Progress: 1 on 3 Progress: 2 on 3 Progress: 3 on 3 za_seria_wydawnicza <- marc_field_490 %>%
mutate(`$a` = str_replace_all(`$a`,"(=)(\\$a)","\\1 "),
`$a` = str_remove(`$a`," \\;+$| \\:+$"),
`$v` = ifelse(is.na(`$v`),"",as.character(`$v`))) %>%
filter(!is.na(`$a`)) %>%
mutate(seria = str_remove(paste("(",`$a`,"; ",`$v`,")",sep = ""),"; (?=\\)$)"),
seria = gsub("( : )(.)",". \\U\\2",perl=TRUE,seria)) %>%
select(ZA_UWAGI,seria) %>%
group_by(ZA_UWAGI) %>%
mutate(seria = paste(seria,collapse = " ")) %>%
ungroup() %>%
unique() %>%
mutate(seria = str_replace_all(seria,"\\$.","; ")) %>%
right_join(.,data %>% select(ZA_UWAGI),by="ZA_UWAGI")
#13: tomy
za_tomy <- data %>%
select(ZA_UWAGI) %>%
mutate(za_tomy = NA)
#14: adnotacje
za_adnotacje <- data %>%
select(ZA_UWAGI) %>%
left_join(.,BN_autor %>% select(ZA_UWAGI,ZA_ADNOTACJE),by="ZA_UWAGI") %>%
left_join(.,BN_wspoltworca %>% select(ZA_UWAGI,ZA_ADNOTACJE),by="ZA_UWAGI") %>%
mutate(ZA_ADNOTACJE = paste(ifelse(is.na(ZA_ADNOTACJE.x),"",paste(as.character(ZA_ADNOTACJE.x),"# ",sep = "")),ifelse(is.na(ZA_ADNOTACJE.y),"",as.character(ZA_ADNOTACJE.y)),sep = ""),
ZA_ADNOTACJE = str_remove(ZA_ADNOTACJE,"(# )+$")) %>%
select(ZA_UWAGI,ZA_ADNOTACJE) %>%
unique() %>%
arrange(ZA_UWAGI,-nchar(ZA_ADNOTACJE))
za_adnotacje$id_grupy <- cumsum(!duplicated(za_adnotacje[1]))
za_adnotacje <- za_adnotacje[!duplicated(za_adnotacje$id_grupy),] %>%
select(-id_grupy)
#15: BN_URL
BN_URL <- data %>%
select(ZA_UWAGI,BN_URL)
#wyrównanie liczby wierszy do liczby wierszy obiektu data
BN_autor <- data %>%
select(ZA_UWAGI) %>%
left_join(.,BN_autor %>% select(ZA_UWAGI,AM_AUTOR_ID,AM_NAZWISKO,AM_IMIE),by="ZA_UWAGI") %>%
ddply(., .(ZA_UWAGI), summarize, AM_AUTOR_ID = paste(AM_AUTOR_ID, collapse="|"), AM_NAZWISKO = paste(AM_NAZWISKO, collapse="|"), AM_IMIE = paste(AM_IMIE, collapse="|"))
BN_wspoltworca <- data %>%
select(ZA_UWAGI) %>%
left_join(.,BN_wspoltworca %>% select(ZA_UWAGI,OS_OSOBA_ID,OS_NAZWISKO,OS_IMIE,fo_symbol),by="ZA_UWAGI") %>%
ddply(., .(ZA_UWAGI), summarize, OS_OSOBA_ID = paste(OS_OSOBA_ID, collapse="|"), OS_NAZWISKO = paste(OS_NAZWISKO, collapse="|"), OS_IMIE = paste(OS_IMIE, collapse="|"), fo_symbol = paste(fo_symbol, collapse="|")) %>%
mutate(fo_symbol = ifelse(fo_symbol=="NULL","NA",as.character(fo_symbol)))
BN_wydawnictwo <- data %>%
select(ZA_UWAGI) %>%
left_join(.,BN_wydawnictwo %>% select(ZA_UWAGI,WY_WYDAWNICTWO_ID,WY_NAZWA,WY_MIASTO,za_rok_wydania),by="ZA_UWAGI") %>%
ddply(., .(ZA_UWAGI), summarize, WY_WYDAWNICTWO_ID = paste(WY_WYDAWNICTWO_ID, collapse="|"), WY_NAZWA = paste(WY_NAZWA, collapse="|"), WY_MIASTO = paste(WY_MIASTO, collapse="|"), za_rok_wydania = paste(unique(za_rok_wydania), collapse="|")) %>%
mutate(za_rok_wydania = ifelse(za_rok_wydania=="NA","",as.integer(za_rok_wydania)))pojawi戼㸳y si攼㹡 warto㤼㹣ci NA na skutek przekszta戼㸳cenia#połączenie wszystkich elementów w jedną tabelę
kolejnosc <- c("ZA_UWAGI","RZ_NAZWA","ZA_RO_ROK","ZA_TYPE","RZ_RODZAJ_ID","DZ_NAZWA","DZ_DZIAL_ID","TW_TWORCA_ID","AM_AUTOR_ID","AM_NAZWISKO","AM_IMIE","ZA_TYTUL","ZA_TYTUL_ORYGINALU","ZA_JEZYK_ORYGINALU","OS_OSOBA_ID","OS_NAZWISKO","OS_IMIE","fo_symbol","za_opis_wspoltworcow","wydanie","za_tomy","instytucja","WY_WYDAWNICTWO_ID","WY_MIASTO","WY_NAZWA","za_rok_wydania","za_opis_ks","seria","TW_NAZWISKO","TW_IMIE","redaktor_dzialu","ZA_ADNOTACJE","BN_URL")
polaczone <- data %>%
select(ZA_UWAGI) %>%
left_join(.,pola_pbl,by = "ZA_UWAGI") %>%
left_join(.,BN_autor,by = "ZA_UWAGI") %>%
left_join(.,za_tytul,by = "ZA_UWAGI") %>%
left_join(.,za_tytul_oryginalu,by = "ZA_UWAGI") %>%
left_join(.,za_jezyk_oryginalu,by = "ZA_UWAGI") %>%
left_join(.,BN_wspoltworca,by = "ZA_UWAGI") %>%
left_join(.,za_opis_wspoltworcow,by = "ZA_UWAGI") %>%
left_join(.,za_wydanie,by = "ZA_UWAGI") %>%
left_join(.,za_instytucja,by = "ZA_UWAGI") %>%
left_join(.,BN_wydawnictwo,by = "ZA_UWAGI") %>%
left_join(.,za_opis_ks,by = "ZA_UWAGI") %>%
left_join(.,za_seria_wydawnicza,by = "ZA_UWAGI") %>%
left_join(.,za_tomy,by = "ZA_UWAGI") %>%
left_join(.,za_adnotacje,by = "ZA_UWAGI") %>%
left_join(.,BN_URL,by = "ZA_UWAGI") %>%
select(noquote(kolejnosc))
colnames(polaczone) <- c("rekord_BN","rz_nazwa","za_ro_rok","za_type","rz_rodzaj_id","DZ_NAZWA","DZ_DZIAL_ID","tw_tworca_id","am_autor_id","am_nazwisko","am_imie","za_tytul","za_tytul_oryginalu","za_jezyk_oryginalu","os_osoba_id","os_nazwisko","os_imie","fo_symbol","za_opis_wspoltworcow","za_wydanie","za_tomy","za_instytucja","wy_wydawnictwo_id","wy_miejsce","wy_nazwa","za_rok_wydania","za_opis_fizyczny_ksiazki","za_seria_wydawnicza","tw_nazwisko","tw_imie","pracownik","za_adnotacje","BN_URL")
polaczone <- polaczone %>%
mutate(rekord_BN = paste(za_ro_rok,sprintf("%05d", as.integer(rekord_BN)),sep = "~"))
#zasygnalizowanie niepoprawnego kodowania
x <- 1:(length(polaczone)-2)
for (i in x) {
progress(match(i,x), max.value = length(x))
polaczone$za_adnotacje <- ifelse(grepl("<U\\+(....)>",polaczone[,i]),
ifelse(nchar(polaczone$za_adnotacje)!=0,paste(polaczone$za_adnotacje,paste("UWAGA! Błąd kodowania w polu ",as.character(names(polaczone[i]))," Znajdź frazę \"???\" i zredaguj pole",sep = ""),sep = "# "),paste("UWAGA! Błąd kodowania w polu ",as.character(names(polaczone[i]))," Znajdź frazę \"???\" i zredaguj pole",sep = "")),as.character(polaczone$za_adnotacje))
polaczone[,i] <- gsub("<U\\+(....)>", "???", polaczone[,i])
}Progress: 1 on 31 Progress: 2 on 31 Progress: 3 on 31 Progress: 4 on 31 Progress: 5 on 31 Progress: 6 on 31 Progress: 7 on 31 Progress: 8 on 31 Progress: 9 on 31 Progress: 10 on 31 Progress: 11 on 31 Progress: 12 on 31 Progress: 13 on 31 Progress: 14 on 31 Progress: 15 on 31 Progress: 16 on 31 Progress: 17 on 31 Progress: 18 on 31 Progress: 19 on 31 Progress: 20 on 31 Progress: 21 on 31 Progress: 22 on 31 Progress: 23 on 31 Progress: 24 on 31 Progress: 25 on 31 Progress: 26 on 31 Progress: 27 on 31 Progress: 28 on 31 Progress: 29 on 31 Progress: 30 on 31 Progress: 31 on 31 #zasygnalizowanie obecności znaku $ w którymś z pól
X <- 1:(length(polaczone)-2)
for (i in x) {
progress(match(i,x), max.value = length(x))
polaczone$za_adnotacje <- ifelse(grepl("\\$",polaczone[,i]),
ifelse(nchar(polaczone$za_adnotacje)==0,paste("UWAGA! Ze względu na błędny zapis BN w polu ",as.character(names(polaczone[i]))," wydrukowano znak \"$\". Zredaguj treść pola.",sep = ""),paste(polaczone$za_adnotacje,paste("UWAGA! Ze względu na błędny zapis BN w polu ",as.character(names(polaczone[i]))," wydrukowano znak \"$\". Zredaguj treść pola.",sep = ""),sep = "# ")),as.character(polaczone$za_adnotacje))
}Progress: 1 on 31 Progress: 2 on 31 Progress: 3 on 31 Progress: 4 on 31 Progress: 5 on 31 Progress: 6 on 31 Progress: 7 on 31 Progress: 8 on 31 Progress: 9 on 31 Progress: 10 on 31 Progress: 11 on 31 Progress: 12 on 31 Progress: 13 on 31 Progress: 14 on 31 Progress: 15 on 31 Progress: 16 on 31 Progress: 17 on 31 Progress: 18 on 31 Progress: 19 on 31 Progress: 20 on 31 Progress: 21 on 31 Progress: 22 on 31 Progress: 23 on 31 Progress: 24 on 31 Progress: 25 on 31 Progress: 26 on 31 Progress: 27 on 31 Progress: 28 on 31 Progress: 29 on 31 Progress: 30 on 31 Progress: 31 on 31 #zasygnalizowanie obecności frazy "character(0)" w którymś z pól
X <- 1:(length(polaczone)-2)
for (i in x) {
progress(match(i,x), max.value = length(x))
polaczone$za_adnotacje <- ifelse(grepl("character\\(0\\)",polaczone[,i]),
ifelse(nchar(polaczone$za_adnotacje)==0,paste("UWAGA! Ze względu na błędny zapis BN w polu ",as.character(names(polaczone[i]))," wydrukowano frazę \"character(0)\". Zredaguj treść pola.",sep = ""),paste(polaczone$za_adnotacje,paste("UWAGA! Ze względu na błędny zapis BN w polu ",as.character(names(polaczone[i]))," wydrukowano frazę \"character(0)\". Zredaguj treść pola.",sep = ""),sep = "# ")),as.character(polaczone$za_adnotacje))
}Progress: 1 on 31 Progress: 2 on 31 Progress: 3 on 31 Progress: 4 on 31 Progress: 5 on 31 Progress: 6 on 31 Progress: 7 on 31 Progress: 8 on 31 Progress: 9 on 31 Progress: 10 on 31 Progress: 11 on 31 Progress: 12 on 31 Progress: 13 on 31 Progress: 14 on 31 Progress: 15 on 31 Progress: 16 on 31 Progress: 17 on 31 Progress: 18 on 31 Progress: 19 on 31 Progress: 20 on 31 Progress: 21 on 31 Progress: 22 on 31 Progress: 23 on 31 Progress: 24 on 31 Progress: 25 on 31 Progress: 26 on 31 Progress: 27 on 31 Progress: 28 on 31 Progress: 29 on 31 Progress: 30 on 31 Progress: 31 on 31 #zasygnalizowanie obecności znaku # w opisie współtwórców
polaczone$za_adnotacje <- ifelse(grepl("\\#",polaczone$za_opis_wspoltworcow),
ifelse(nchar(polaczone$za_adnotacje)==0,"UWAGA! Ze względu na konflikt w opisie współtwórców wybierz właściwą wartość (strefa odpowiedzialności \"#\" współtwórcy z pola 700)",paste(polaczone$za_adnotacje,"UWAGA! Ze względu na konflikt w opisie współtwórców wybierz właściwą wartość (strefa odpowiedzialności # współtwórcy z pola 700)",sep = "# ")),as.character(polaczone$za_adnotacje))
out <- cSplit(polaczone, c("am_autor_id", "am_nazwisko", "am_imie","os_osoba_id","os_nazwisko", "os_imie", "fo_symbol","wy_wydawnictwo_id","wy_miejsce","wy_nazwa"),sep = "|",direction = "long") %>%
unique()
out$rekord_BN <- ifelse(is.na(out$rekord_BN),'',as.character(out$rekord_BN))
out$rz_nazwa <- ifelse(is.na(out$rz_nazwa),'',as.character(out$rz_nazwa))
out$za_ro_rok <- ifelse(is.na(out$za_ro_rok),'',as.character(out$za_ro_rok))
out$za_type <- ifelse(is.na(out$za_type),'',as.character(out$za_type))
out$rz_rodzaj_id <- ifelse(is.na(out$rz_rodzaj_id),'',as.character(out$rz_rodzaj_id))
out$DZ_NAZWA <- ifelse(is.na(out$DZ_NAZWA),'',as.character(out$DZ_NAZWA))
out$DZ_DZIAL_ID <- ifelse(is.na(out$DZ_DZIAL_ID),'',as.character(out$DZ_DZIAL_ID))
out$tw_tworca_id <- ifelse(is.na(out$tw_tworca_id),'',as.character(out$tw_tworca_id))
out$am_autor_id <- ifelse(is.na(out$am_autor_id),'',as.character(out$am_autor_id))
out$am_nazwisko <- ifelse(is.na(out$am_nazwisko),'',as.character(out$am_nazwisko))
out$am_imie <- ifelse(is.na(out$am_imie),'',as.character(out$am_imie))
out$za_tytul <- ifelse(is.na(out$za_tytul),'',as.character(out$za_tytul))
out$za_tytul_oryginalu <- ifelse(is.na(out$za_tytul_oryginalu),'',as.character(out$za_tytul_oryginalu))
out$za_jezyk_oryginalu <- ifelse(is.na(out$za_jezyk_oryginalu),'',as.character(out$za_jezyk_oryginalu))
out$os_osoba_id <- ifelse(is.na(out$os_osoba_id),'',as.character(out$os_osoba_id))
out$os_nazwisko <- ifelse(is.na(out$os_nazwisko),'',as.character(out$os_nazwisko))
out$os_imie <- ifelse(is.na(out$os_imie),'',as.character(out$os_imie))
out$fo_symbol <- ifelse(is.na(out$fo_symbol),'',as.character(out$fo_symbol))
out$za_opis_wspoltworcow <- ifelse(is.na(out$za_opis_wspoltworcow),'',as.character(out$za_opis_wspoltworcow))
out$za_wydanie <- ifelse(is.na(out$za_wydanie),'',as.character(out$za_wydanie))
out$za_tomy <- ifelse(is.na(out$za_tomy),'',as.character(out$za_tomy))
out$za_instytucja <- ifelse(is.na(out$za_instytucja),'',as.character(out$za_instytucja))
out$wy_wydawnictwo_id <- ifelse(is.na(out$wy_wydawnictwo_id),'',as.character(out$wy_wydawnictwo_id))
out$wy_miejsce <- ifelse(is.na(out$wy_miejsce),'',as.character(out$wy_miejsce))
out$wy_nazwa <- ifelse(is.na(out$wy_nazwa),'',as.character(out$wy_nazwa))
out$za_rok_wydania <- ifelse(is.na(out$za_rok_wydania),'',as.character(out$za_rok_wydania))
out$za_opis_fizyczny_ksiazki <- ifelse(is.na(out$za_opis_fizyczny_ksiazki),'',as.character(out$za_opis_fizyczny_ksiazki))
out$za_seria_wydawnicza <- ifelse(is.na(out$za_seria_wydawnicza),'',as.character(out$za_seria_wydawnicza))
out$tw_nazwisko <- ifelse(is.na(out$tw_nazwisko),'',as.character(out$tw_nazwisko))
out$tw_imie <- ifelse(is.na(out$tw_imie),'',as.character(out$tw_imie))
out$pracownik <- ifelse(is.na(out$pracownik),'',as.character(out$pracownik))
out$za_adnotacje <- ifelse(is.na(out$za_adnotacje),'',as.character(out$za_adnotacje))
out$BN_URL <- ifelse(is.na(out$BN_URL),'',as.character(out$BN_URL))
out %$%
{ rekord_BN==lag(rekord_BN,) & rz_nazwa==lag(rz_nazwa,) & za_ro_rok==lag(za_ro_rok,) & za_type==lag(za_type,) & rz_rodzaj_id==lag(rz_rodzaj_id,) & DZ_NAZWA==lag(DZ_NAZWA,) & DZ_DZIAL_ID==lag(DZ_DZIAL_ID,) & tw_tworca_id==lag(tw_tworca_id,) & za_tytul==lag(za_tytul,) & za_tytul_oryginalu==lag(za_tytul_oryginalu,) & za_jezyk_oryginalu==lag(za_jezyk_oryginalu,) & za_opis_wspoltworcow==lag(za_opis_wspoltworcow,) & za_wydanie==lag(za_wydanie,) & za_tomy==lag(za_tomy,) & za_instytucja==lag(za_instytucja,) & za_rok_wydania==lag(za_rok_wydania,) & za_opis_fizyczny_ksiazki==lag(za_opis_fizyczny_ksiazki,) & za_seria_wydawnicza==lag(za_seria_wydawnicza,) & tw_nazwisko==lag(tw_nazwisko,) & tw_imie==lag(tw_imie,) & pracownik==lag(pracownik,) & za_adnotacje==lag(za_adnotacje,) & BN_URL==lag(BN_URL,)} %>%
as.numeric() %>%
{.} -> out$same
out$same[1] <- 0
out$dzielone <- paste(out$am_autor_id,out$am_nazwisko,out$am_imie,out$os_osoba_id,out$os_nazwisko,out$os_imie,out$fo_symbol,out$wy_wydawnictwo_id,out$wy_miejsce,out$wy_nazwa,sep = "")
out <- out %>%
filter(!(same==1&dzielone=="")) %>%
select(1:33)
out %$%
{ rekord_BN==lag(rekord_BN,) & rz_nazwa==lag(rz_nazwa,) & za_ro_rok==lag(za_ro_rok,) & za_type==lag(za_type,) & rz_rodzaj_id==lag(rz_rodzaj_id,) & DZ_NAZWA==lag(DZ_NAZWA,) & DZ_DZIAL_ID==lag(DZ_DZIAL_ID,) & tw_tworca_id==lag(tw_tworca_id,) & za_tytul==lag(za_tytul,) & za_tytul_oryginalu==lag(za_tytul_oryginalu,) & za_jezyk_oryginalu==lag(za_jezyk_oryginalu,) & za_opis_wspoltworcow==lag(za_opis_wspoltworcow,) & za_wydanie==lag(za_wydanie,) & za_tomy==lag(za_tomy,) & za_instytucja==lag(za_instytucja,) & za_rok_wydania==lag(za_rok_wydania,) & za_opis_fizyczny_ksiazki==lag(za_opis_fizyczny_ksiazki,) & za_seria_wydawnicza==lag(za_seria_wydawnicza,) & tw_nazwisko==lag(tw_nazwisko,) & tw_imie==lag(tw_imie,) & pracownik==lag(pracownik,) & za_adnotacje==lag(za_adnotacje,) & BN_URL==lag(BN_URL,)} %>%
as.numeric() %>%
{.} -> out$same
#ucięcie zbyt długich ciągów znaków, by weszły do oracle'a
dlugosci <- data.frame(pole = c("am_nazwisko", "am_imie", "za_tytul", "za_tytul_oryginalu", "za_jezyk_oryginalu", "os_nazwisko", "os_imie", "za_opis_wspoltworcow", "za_instytucja", "wy_miejsce", "wy_nazwa", "za_opis_fizyczny_ksiazki", "za_seria_wydawnicza", "tw_nazwisko", "tw_imie", "za_adnotacje"), liczba_znakow = c(50,40,500,500,100,50,40,500,255,40,255,1000,255,200,40,2000))
x <- match(dlugosci$pole,names(out))
for (i in x) {
progress(match(i,x), max.value = length(x))
dlugosc <- dlugosci$liczba_znakow[match(names(out[i]),dlugosci$pole)]
out$za_adnotacje <- ifelse(dlugosc<nchar(as.character(out[,i]))&out$za_adnotacje!="",paste(out$za_adnotacje,paste("UWAGA! Pole ",as.character(names(out[i]))," było zbyt długie i zostało przycięte. Zredaguj treść pola.",sep = ""),sep = "# "),
ifelse(dlugosc<nchar(as.character(out[,i]))&out$za_adnotacje=="",paste("UWAGA! Pole ",as.character(names(out[i]))," było zbyt długie i zostało przycięte. Zredaguj treść pola.",sep = ""),as.character(out$za_adnotacje)))
out[,i] <- ifelse(dlugosc<nchar(as.character(out[,i])),as.character(substr(out[,i],1,dlugosc)),as.character(out[,i]))
}Progress: 1 on 16 Progress: 2 on 16 Progress: 3 on 16 Progress: 4 on 16 Progress: 5 on 16 Progress: 6 on 16 Progress: 7 on 16 Progress: 8 on 16 Progress: 9 on 16 Progress: 10 on 16 Progress: 11 on 16 Progress: 12 on 16 Progress: 13 on 16 Progress: 14 on 16 Progress: 15 on 16 Progress: 16 on 16 out$rekord_BN[out$same == 1] <- ""
out$rz_nazwa[out$same == 1] <- ""
out$za_ro_rok[out$same == 1] <- ""
out$za_type[out$same == 1] <- ""
out$rz_rodzaj_id[out$same == 1] <- ""
out$DZ_NAZWA[out$same == 1] <- ""
out$DZ_DZIAL_ID[out$same == 1] <- ""
out$tw_tworca_id[out$same == 1] <- ""
out$za_tytul[out$same == 1] <- ""
out$za_tytul_oryginalu[out$same == 1] <- ""
out$za_jezyk_oryginalu[out$same == 1] <- ""
out$za_opis_wspoltworcow[out$same == 1] <- ""
out$za_wydanie[out$same == 1] <- ""
out$za_tomy[out$same == 1] <- ""
out$za_instytucja[out$same == 1] <- ""
out$za_rok_wydania[out$same == 1] <- ""
out$za_opis_fizyczny_ksiazki[out$same == 1] <- ""
out$za_seria_wydawnicza[out$same == 1] <- ""
out$tw_nazwisko[out$same == 1] <- ""
out$tw_imie[out$same == 1] <- ""
out$pracownik[out$same == 1] <- ""
out$za_adnotacje[out$same == 1] <- ""
out$BN_URL[out$same == 1] <- ""
#pętla zapisująca po ok. 2000 wierszy z uwzględnieniem kompletności rekordów bibliograficznych rozpisanych na kilka wierszy
out <- out %>%
mutate(podzial = ifelse(rekord_BN!="",as.character(rekord_BN),NA)) %>%
fill(podzial)
ile <- unique(out$podzial)
ile <- split(unique(ile), ceiling(seq_along(unique(ile))/1500))
#aktualizacja - wpisz właściwy rok w ścieżkę pliku
x <- 1:length(ile)
for (i in x) {
progress(match(i,x), max.value = length(x))
final <- out %>%
filter(podzial %in% ile[[i]]) %>%
select(-podzial)
write.xlsx(final, paste("C:/Users/Cezary/Desktop/2009_przedmiotowa_do_importu",i,".xlsx",sep = ""),sheetName = "gotowe")
}Progress: 1 on 1 marc_field_490 <- data %>%
select(ZA_UWAGI,X490,X800,X830) %>%
mutate(X490 = ifelse(grepl("U\\+",X490),as.character(X830),as.character(X490))) %>%
mutate(X800 = ifelse(X490!="","",as.character(X800)),
X830 = ifelse(X490!="","",as.character(X830)),
X800 = str_replace(X800,"(\\$a)(.*)(\\$t)","\\1"),
X490 = ifelse(X490==""&X830!="",as.character(X830),
ifelse(X490==""&X800!="",as.character(X800),as.character(X490)))) %>%
select(ZA_UWAGI,X490) %>%
filter(X490!="") %>%
mutate(X490=str_replace_all(X490,"(^|\\|)","~\\1")) %>%
cSplit(.,"X490",sep = "~",direction = "long") %>%
filter(X490!="") %>%
mutate(X490=str_remove_all(X490,"^\\|")) %>%
mutate(indicator = str_replace_all(X490,"(^.*?)(\\$.*)","\\1"))
Komunikaty ostrzegawcze:
1: Unknown or uninitialised column: 'drugi_autor'.
2: Unknown or uninitialised column: 'drugi_autor'.
3: Unknown or uninitialised column: 'drugi_autor'.
4: Unknown or uninitialised column: 'drugi_autor'.
5: Unknown or uninitialised column: 'drugi_autor'.
6: Unknown or uninitialised column: 'drugi_autor'. subfield_list<- str_extract_all(data$X490,"\\$.")
subfield_list<- unique(unlist(subfield_list))
empty_table<- data.frame(matrix(ncol = length(subfield_list),nrow = lengths(marc_field_490)[1]))
colnames(empty_table) <-subfield_list
marc_field_490<-cbind(marc_field_490,empty_table)
subfield_list_char <- paste("(",subfield_list,")",sep = "")
subfield_list_char <- str_replace_all(subfield_list_char,"\\$","\\\\$")
x <- 1:length(subfield_list)
for (i in x) {
progress(match(i,x), max.value = length(x))
marc_field_490$X490 <- str_replace(marc_field_490$X490,subfield_list_char[i],"|\\1")
}Progress: 1 on 2 Progress: 2 on 2 for (i in x) {
progress(match(i,x), max.value = length(x))
subfield_list_char2 <- str_replace_all(subfield_list,"\\$","\\\\$")
string_a <- "(^)(.*?\\|"
string_b <- subfield_list_char2[i]
string_c <- ")(.*?)(\\,{0,1})((\\|\\$)(.*)|$)"
string <- paste(string_a,string_b,string_c,sep = "")
marc_field_490[,i+3] <- ifelse(grepl(subfield_list_char2[i],marc_field_490$X490),str_replace_all(gsub(string,"\\3",marc_field_490$X490),"\\${2}.", "~"),NA)
}Progress: 1 on 2 Progress: 2 on 2 za_seria_wydawnicza <- marc_field_490 %>%
mutate(`$a` = str_replace_all(`$a`,"(=)(\\$a)","\\1 "),
`$a` = str_remove(`$a`," \\;+$| \\:+$"),
`$v` = ifelse(is.na(`$v`),"",as.character(`$v`))) %>%
filter(!is.na(`$a`)) %>%
mutate(seria = str_remove(paste("(",`$a`,"; ",`$v`,")",sep = ""),"; (?=\\)$)"),
seria = gsub("( : )(.)",". \\U\\2",perl=TRUE,seria)) %>%
select(ZA_UWAGI,seria) %>%
group_by(ZA_UWAGI) %>%
mutate(seria = paste(seria,collapse = " ")) %>%
ungroup() %>%
unique() %>%
mutate(seria = str_replace_all(seria,"\\$.","; ")) %>%
right_join(.,data %>% select(ZA_UWAGI),by="ZA_UWAGI")
#13: tomy
za_tomy <- data %>%
select(ZA_UWAGI) %>%
mutate(za_tomy = NA)
#14: adnotacje
za_adnotacje <- data %>%
select(ZA_UWAGI) %>%
left_join(.,ZA_ADNOTACJE %>% select(ZA_UWAGI,ZA_ADNOTACJE),by="ZA_UWAGI") %>%
left_join(.,BN_wspoltworca %>% select(ZA_UWAGI,ZA_ADNOTACJE),by="ZA_UWAGI") %>%
mutate(ZA_ADNOTACJE = paste(ifelse(is.na(ZA_ADNOTACJE.x),"",paste(as.character(ZA_ADNOTACJE.x),"# ",sep = "")),ifelse(is.na(ZA_ADNOTACJE.y),"",as.character(ZA_ADNOTACJE.y)),sep = ""),
ZA_ADNOTACJE = str_remove(ZA_ADNOTACJE,"(# )+$")) %>%
select(ZA_UWAGI,ZA_ADNOTACJE) %>%
unique() %>%
arrange(ZA_UWAGI,-nchar(ZA_ADNOTACJE))
za_adnotacje$id_grupy <- cumsum(!duplicated(za_adnotacje[1]))
za_adnotacje <- za_adnotacje[!duplicated(za_adnotacje$id_grupy),] %>%
select(-id_grupy)
#15: BN_URL
BN_URL <- data %>%
select(ZA_UWAGI,BN_URL)
#wyrównanie liczby wierszy do liczby wierszy obiektu data
BN_wspoltworca <- data %>%
select(ZA_UWAGI) %>%
left_join(.,BN_wspoltworca %>% select(ZA_UWAGI,OS_OSOBA_ID,OS_NAZWISKO,OS_IMIE,fo_symbol),by="ZA_UWAGI") %>%
ddply(., .(ZA_UWAGI), summarize, OS_OSOBA_ID = paste(OS_OSOBA_ID, collapse="|"), OS_NAZWISKO = paste(OS_NAZWISKO, collapse="|"), OS_IMIE = paste(OS_IMIE, collapse="|"), fo_symbol = paste(fo_symbol, collapse="|")) %>%
mutate(fo_symbol = ifelse(fo_symbol=="NULL","NA",as.character(fo_symbol)))
BN_wydawnictwo <- data %>%
select(ZA_UWAGI) %>%
left_join(.,BN_wydawnictwo %>% select(ZA_UWAGI,WY_WYDAWNICTWO_ID,WY_NAZWA,WY_MIASTO,za_rok_wydania),by="ZA_UWAGI") %>%
ddply(., .(ZA_UWAGI), summarize, WY_WYDAWNICTWO_ID = paste(WY_WYDAWNICTWO_ID, collapse="|"), WY_NAZWA = paste(WY_NAZWA, collapse="|"), WY_MIASTO = paste(WY_MIASTO, collapse="|"), za_rok_wydania = paste(unique(za_rok_wydania), collapse="|")) %>%
mutate(za_rok_wydania = ifelse(za_rok_wydania=="NA","",as.integer(za_rok_wydania)))
#połączenie wszystkich elementów w jedną tabelę
kolejnosc <- c("ZA_UWAGI","RZ_NAZWA","ZA_RO_ROK","ZA_TYPE","RZ_RODZAJ_ID","DZ_NAZWA","DZ_DZIAL_ID","TW_TWORCA_ID","AM_AUTOR_ID","AM_NAZWISKO","AM_IMIE","ZA_TYTUL","ZA_TYTUL_ORYGINALU","ZA_JEZYK_ORYGINALU","OS_OSOBA_ID","OS_NAZWISKO","OS_IMIE","fo_symbol","za_opis_wspoltworcow","wydanie","za_tomy","instytucja","WY_WYDAWNICTWO_ID","WY_MIASTO","WY_NAZWA","za_rok_wydania","za_opis_ks","seria","TW_NAZWISKO","TW_IMIE","redaktor_dzialu","ZA_ADNOTACJE","BN_URL")
polaczone <- data %>%
select(ZA_UWAGI) %>%
left_join(.,pola_pbl,by = "ZA_UWAGI") %>%
left_join(.,BN_autor,by = "ZA_UWAGI") %>%
left_join(.,za_tytul,by = "ZA_UWAGI") %>%
left_join(.,za_tytul_oryginalu,by = "ZA_UWAGI") %>%
left_join(.,za_jezyk_oryginalu,by = "ZA_UWAGI") %>%
left_join(.,BN_wspoltworca,by = "ZA_UWAGI") %>%
left_join(.,za_opis_wspoltworcow,by = "ZA_UWAGI") %>%
left_join(.,za_wydanie,by = "ZA_UWAGI") %>%
left_join(.,za_instytucja,by = "ZA_UWAGI") %>%
left_join(.,BN_wydawnictwo,by = "ZA_UWAGI") %>%
left_join(.,za_opis_ks,by = "ZA_UWAGI") %>%
left_join(.,za_seria_wydawnicza,by = "ZA_UWAGI") %>%
left_join(.,za_tomy,by = "ZA_UWAGI") %>%
left_join(.,za_adnotacje,by = "ZA_UWAGI") %>%
left_join(.,BN_URL,by = "ZA_UWAGI") %>%
select(noquote(kolejnosc))
colnames(polaczone) <- c("rekord_BN","rz_nazwa","za_ro_rok","za_type","rz_rodzaj_id","DZ_NAZWA","DZ_DZIAL_ID","tw_tworca_id","am_autor_id","am_nazwisko","am_imie","za_tytul","za_tytul_oryginalu","za_jezyk_oryginalu","os_osoba_id","os_nazwisko","os_imie","fo_symbol","za_opis_wspoltworcow","za_wydanie","za_tomy","za_instytucja","wy_wydawnictwo_id","wy_miejsce","wy_nazwa","za_rok_wydania","za_opis_fizyczny_ksiazki","za_seria_wydawnicza","tw_nazwisko","tw_imie","pracownik","za_adnotacje","BN_URL")
polaczone <- polaczone %>%
mutate(rekord_BN = paste(za_ro_rok,sprintf("%05d", as.integer(rekord_BN)),sep = "~"))
#zasygnalizowanie niepoprawnego kodowania
x <- 1:(length(polaczone)-2)
for (i in x) {
progress(match(i,x), max.value = length(x))
polaczone$za_adnotacje <- ifelse(grepl("<U\\+(....)>",polaczone[,i]),
ifelse(nchar(polaczone$za_adnotacje)!=0,paste(polaczone$za_adnotacje,paste("UWAGA! Błąd kodowania w polu ",as.character(names(polaczone[i]))," Znajdź frazę \"???\" i zredaguj pole",sep = ""),sep = "# "),paste("UWAGA! Błąd kodowania w polu ",as.character(names(polaczone[i]))," Znajdź frazę \"???\" i zredaguj pole",sep = "")),as.character(polaczone$za_adnotacje))
polaczone[,i] <- gsub("<U\\+(....)>", "???", polaczone[,i])
}Progress: 1 on 31 Progress: 2 on 31 Progress: 3 on 31 Progress: 4 on 31 Progress: 5 on 31 Progress: 6 on 31 Progress: 7 on 31 Progress: 8 on 31 Progress: 9 on 31 Progress: 10 on 31 Progress: 11 on 31 Progress: 12 on 31 Progress: 13 on 31 Progress: 14 on 31 Progress: 15 on 31 Progress: 16 on 31 Progress: 17 on 31 Progress: 18 on 31 Progress: 19 on 31 Progress: 20 on 31 Progress: 21 on 31 Progress: 22 on 31 Progress: 23 on 31 Progress: 24 on 31 Progress: 25 on 31 Progress: 26 on 31 Progress: 27 on 31 Progress: 28 on 31 Progress: 29 on 31 Progress: 30 on 31 Progress: 31 on 31 #zasygnalizowanie obecności znaku $ w którymś z pól
X <- 1:(length(polaczone)-2)
for (i in x) {
progress(match(i,x), max.value = length(x))
polaczone$za_adnotacje <- ifelse(grepl("\\$",polaczone[,i]),
ifelse(nchar(polaczone$za_adnotacje)==0,paste("UWAGA! Ze względu na błędny zapis BN w polu ",as.character(names(polaczone[i]))," wydrukowano znak \"$\". Zredaguj treść pola.",sep = ""),paste(polaczone$za_adnotacje,paste("UWAGA! Ze względu na błędny zapis BN w polu ",as.character(names(polaczone[i]))," wydrukowano znak \"$\". Zredaguj treść pola.",sep = ""),sep = "# ")),as.character(polaczone$za_adnotacje))
}Progress: 1 on 31 Progress: 2 on 31 Progress: 3 on 31 Progress: 4 on 31 Progress: 5 on 31 Progress: 6 on 31 Progress: 7 on 31 Progress: 8 on 31 Progress: 9 on 31 Progress: 10 on 31 Progress: 11 on 31 Progress: 12 on 31 Progress: 13 on 31 Progress: 14 on 31 Progress: 15 on 31 Progress: 16 on 31 Progress: 17 on 31 Progress: 18 on 31 Progress: 19 on 31 Progress: 20 on 31 Progress: 21 on 31 Progress: 22 on 31 Progress: 23 on 31 Progress: 24 on 31 Progress: 25 on 31 Progress: 26 on 31 Progress: 27 on 31 Progress: 28 on 31 Progress: 29 on 31 Progress: 30 on 31 Progress: 31 on 31 #zasygnalizowanie obecności frazy "character(0)" w którymś z pól
X <- 1:(length(polaczone)-2)
for (i in x) {
progress(match(i,x), max.value = length(x))
polaczone$za_adnotacje <- ifelse(grepl("character\\(0\\)",polaczone[,i]),
ifelse(nchar(polaczone$za_adnotacje)==0,paste("UWAGA! Ze względu na błędny zapis BN w polu ",as.character(names(polaczone[i]))," wydrukowano frazę \"character(0)\". Zredaguj treść pola.",sep = ""),paste(polaczone$za_adnotacje,paste("UWAGA! Ze względu na błędny zapis BN w polu ",as.character(names(polaczone[i]))," wydrukowano frazę \"character(0)\". Zredaguj treść pola.",sep = ""),sep = "# ")),as.character(polaczone$za_adnotacje))
}Progress: 1 on 31 Progress: 2 on 31 Progress: 3 on 31 Progress: 4 on 31 Progress: 5 on 31 Progress: 6 on 31 Progress: 7 on 31 Progress: 8 on 31 Progress: 9 on 31 Progress: 10 on 31 Progress: 11 on 31 Progress: 12 on 31 Progress: 13 on 31 Progress: 14 on 31 Progress: 15 on 31 Progress: 16 on 31 Progress: 17 on 31 Progress: 18 on 31 Progress: 19 on 31 Progress: 20 on 31 Progress: 21 on 31 Progress: 22 on 31 Progress: 23 on 31 Progress: 24 on 31 Progress: 25 on 31 Progress: 26 on 31 Progress: 27 on 31 Progress: 28 on 31 Progress: 29 on 31 Progress: 30 on 31 Progress: 31 on 31 #zasygnalizowanie obecności znaku # w opisie współtwórców
polaczone$za_adnotacje <- ifelse(grepl("\\#",polaczone$za_opis_wspoltworcow),
ifelse(nchar(polaczone$za_adnotacje)==0,"UWAGA! Ze względu na konflikt w opisie współtwórców wybierz właściwą wartość (strefa odpowiedzialności \"#\" współtwórcy z pola 700)",paste(polaczone$za_adnotacje,"UWAGA! Ze względu na konflikt w opisie współtwórców wybierz właściwą wartość (strefa odpowiedzialności # współtwórcy z pola 700)",sep = "# ")),as.character(polaczone$za_adnotacje))
out <- cSplit(polaczone, c("am_autor_id", "am_nazwisko", "am_imie","os_osoba_id","os_nazwisko", "os_imie", "fo_symbol","wy_wydawnictwo_id","wy_miejsce","wy_nazwa"),sep = "|",direction = "long") %>%
unique()
out$rekord_BN <- ifelse(is.na(out$rekord_BN),'',as.character(out$rekord_BN))
out$rz_nazwa <- ifelse(is.na(out$rz_nazwa),'',as.character(out$rz_nazwa))
out$za_ro_rok <- ifelse(is.na(out$za_ro_rok),'',as.character(out$za_ro_rok))
out$za_type <- ifelse(is.na(out$za_type),'',as.character(out$za_type))
out$rz_rodzaj_id <- ifelse(is.na(out$rz_rodzaj_id),'',as.character(out$rz_rodzaj_id))
out$DZ_NAZWA <- ifelse(is.na(out$DZ_NAZWA),'',as.character(out$DZ_NAZWA))
out$DZ_DZIAL_ID <- ifelse(is.na(out$DZ_DZIAL_ID),'',as.character(out$DZ_DZIAL_ID))
out$tw_tworca_id <- ifelse(is.na(out$tw_tworca_id),'',as.character(out$tw_tworca_id))
out$am_autor_id <- ifelse(is.na(out$am_autor_id),'',as.character(out$am_autor_id))
out$am_nazwisko <- ifelse(is.na(out$am_nazwisko),'',as.character(out$am_nazwisko))
out$am_imie <- ifelse(is.na(out$am_imie),'',as.character(out$am_imie))
out$za_tytul <- ifelse(is.na(out$za_tytul),'',as.character(out$za_tytul))
out$za_tytul_oryginalu <- ifelse(is.na(out$za_tytul_oryginalu),'',as.character(out$za_tytul_oryginalu))
out$za_jezyk_oryginalu <- ifelse(is.na(out$za_jezyk_oryginalu),'',as.character(out$za_jezyk_oryginalu))
out$os_osoba_id <- ifelse(is.na(out$os_osoba_id),'',as.character(out$os_osoba_id))
out$os_nazwisko <- ifelse(is.na(out$os_nazwisko),'',as.character(out$os_nazwisko))
out$os_imie <- ifelse(is.na(out$os_imie),'',as.character(out$os_imie))
out$fo_symbol <- ifelse(is.na(out$fo_symbol),'',as.character(out$fo_symbol))
out$za_opis_wspoltworcow <- ifelse(is.na(out$za_opis_wspoltworcow),'',as.character(out$za_opis_wspoltworcow))
out$za_wydanie <- ifelse(is.na(out$za_wydanie),'',as.character(out$za_wydanie))
out$za_tomy <- ifelse(is.na(out$za_tomy),'',as.character(out$za_tomy))
out$za_instytucja <- ifelse(is.na(out$za_instytucja),'',as.character(out$za_instytucja))
out$wy_wydawnictwo_id <- ifelse(is.na(out$wy_wydawnictwo_id),'',as.character(out$wy_wydawnictwo_id))
out$wy_miejsce <- ifelse(is.na(out$wy_miejsce),'',as.character(out$wy_miejsce))
out$wy_nazwa <- ifelse(is.na(out$wy_nazwa),'',as.character(out$wy_nazwa))
out$za_rok_wydania <- ifelse(is.na(out$za_rok_wydania),'',as.character(out$za_rok_wydania))
out$za_opis_fizyczny_ksiazki <- ifelse(is.na(out$za_opis_fizyczny_ksiazki),'',as.character(out$za_opis_fizyczny_ksiazki))
out$za_seria_wydawnicza <- ifelse(is.na(out$za_seria_wydawnicza),'',as.character(out$za_seria_wydawnicza))
out$tw_nazwisko <- ifelse(is.na(out$tw_nazwisko),'',as.character(out$tw_nazwisko))
out$tw_imie <- ifelse(is.na(out$tw_imie),'',as.character(out$tw_imie))
out$pracownik <- ifelse(is.na(out$pracownik),'',as.character(out$pracownik))
out$za_adnotacje <- ifelse(is.na(out$za_adnotacje),'',as.character(out$za_adnotacje))
out$BN_URL <- ifelse(is.na(out$BN_URL),'',as.character(out$BN_URL))
out %$%
{ rekord_BN==lag(rekord_BN,) & rz_nazwa==lag(rz_nazwa,) & za_ro_rok==lag(za_ro_rok,) & za_type==lag(za_type,) & rz_rodzaj_id==lag(rz_rodzaj_id,) & DZ_NAZWA==lag(DZ_NAZWA,) & DZ_DZIAL_ID==lag(DZ_DZIAL_ID,) & tw_tworca_id==lag(tw_tworca_id,) & za_tytul==lag(za_tytul,) & za_tytul_oryginalu==lag(za_tytul_oryginalu,) & za_jezyk_oryginalu==lag(za_jezyk_oryginalu,) & za_opis_wspoltworcow==lag(za_opis_wspoltworcow,) & za_wydanie==lag(za_wydanie,) & za_tomy==lag(za_tomy,) & za_instytucja==lag(za_instytucja,) & za_rok_wydania==lag(za_rok_wydania,) & za_opis_fizyczny_ksiazki==lag(za_opis_fizyczny_ksiazki,) & za_seria_wydawnicza==lag(za_seria_wydawnicza,) & tw_nazwisko==lag(tw_nazwisko,) & tw_imie==lag(tw_imie,) & pracownik==lag(pracownik,) & za_adnotacje==lag(za_adnotacje,) & BN_URL==lag(BN_URL,)} %>%
as.numeric() %>%
{.} -> out$same
out$same[1] <- 0
out$dzielone <- paste(out$am_autor_id,out$am_nazwisko,out$am_imie,out$os_osoba_id,out$os_nazwisko,out$os_imie,out$fo_symbol,out$wy_wydawnictwo_id,out$wy_miejsce,out$wy_nazwa,sep = "")
out <- out %>%
filter(!(same==1&dzielone=="")) %>%
select(1:33)
out %$%
{ rekord_BN==lag(rekord_BN,) & rz_nazwa==lag(rz_nazwa,) & za_ro_rok==lag(za_ro_rok,) & za_type==lag(za_type,) & rz_rodzaj_id==lag(rz_rodzaj_id,) & DZ_NAZWA==lag(DZ_NAZWA,) & DZ_DZIAL_ID==lag(DZ_DZIAL_ID,) & tw_tworca_id==lag(tw_tworca_id,) & za_tytul==lag(za_tytul,) & za_tytul_oryginalu==lag(za_tytul_oryginalu,) & za_jezyk_oryginalu==lag(za_jezyk_oryginalu,) & za_opis_wspoltworcow==lag(za_opis_wspoltworcow,) & za_wydanie==lag(za_wydanie,) & za_tomy==lag(za_tomy,) & za_instytucja==lag(za_instytucja,) & za_rok_wydania==lag(za_rok_wydania,) & za_opis_fizyczny_ksiazki==lag(za_opis_fizyczny_ksiazki,) & za_seria_wydawnicza==lag(za_seria_wydawnicza,) & tw_nazwisko==lag(tw_nazwisko,) & tw_imie==lag(tw_imie,) & pracownik==lag(pracownik,) & za_adnotacje==lag(za_adnotacje,) & BN_URL==lag(BN_URL,)} %>%
as.numeric() %>%
{.} -> out$same
#ucięcie zbyt długich ciągów znaków, by weszły do oracle'a
dlugosci <- data.frame(pole = c("am_nazwisko", "am_imie", "za_tytul", "za_tytul_oryginalu", "za_jezyk_oryginalu", "os_nazwisko", "os_imie", "za_opis_wspoltworcow", "za_instytucja", "wy_miejsce", "wy_nazwa", "za_opis_fizyczny_ksiazki", "za_seria_wydawnicza", "tw_nazwisko", "tw_imie", "za_adnotacje"), liczba_znakow = c(50,40,500,500,100,50,40,500,255,40,255,1000,255,200,40,2000))
x <- match(dlugosci$pole,names(out))
for (i in x) {
progress(match(i,x), max.value = length(x))
dlugosc <- dlugosci$liczba_znakow[match(names(out[i]),dlugosci$pole)]
out$za_adnotacje <- ifelse(dlugosc<nchar(as.character(out[,i]))&out$za_adnotacje!="",paste(out$za_adnotacje,paste("UWAGA! Pole ",as.character(names(out[i]))," było zbyt długie i zostało przycięte. Zredaguj treść pola.",sep = ""),sep = "# "),
ifelse(dlugosc<nchar(as.character(out[,i]))&out$za_adnotacje=="",paste("UWAGA! Pole ",as.character(names(out[i]))," było zbyt długie i zostało przycięte. Zredaguj treść pola.",sep = ""),as.character(out$za_adnotacje)))
out[,i] <- ifelse(dlugosc<nchar(as.character(out[,i])),as.character(substr(out[,i],1,dlugosc)),as.character(out[,i]))
}Progress: 1 on 16 Progress: 2 on 16 Progress: 3 on 16 Progress: 4 on 16 Progress: 5 on 16 Progress: 6 on 16 Progress: 7 on 16 Progress: 8 on 16 Progress: 9 on 16 Progress: 10 on 16 Progress: 11 on 16 Progress: 12 on 16 Progress: 13 on 16 Progress: 14 on 16 Progress: 15 on 16 Progress: 16 on 16 out$rekord_BN[out$same == 1] <- ""
out$rz_nazwa[out$same == 1] <- ""
out$za_ro_rok[out$same == 1] <- ""
out$za_type[out$same == 1] <- ""
out$rz_rodzaj_id[out$same == 1] <- ""
out$DZ_NAZWA[out$same == 1] <- ""
out$DZ_DZIAL_ID[out$same == 1] <- ""
out$tw_tworca_id[out$same == 1] <- ""
out$za_tytul[out$same == 1] <- ""
out$za_tytul_oryginalu[out$same == 1] <- ""
out$za_jezyk_oryginalu[out$same == 1] <- ""
out$za_opis_wspoltworcow[out$same == 1] <- ""
out$za_wydanie[out$same == 1] <- ""
out$za_tomy[out$same == 1] <- ""
out$za_instytucja[out$same == 1] <- ""
out$za_rok_wydania[out$same == 1] <- ""
out$za_opis_fizyczny_ksiazki[out$same == 1] <- ""
out$za_seria_wydawnicza[out$same == 1] <- ""
out$tw_nazwisko[out$same == 1] <- ""
out$tw_imie[out$same == 1] <- ""
out$pracownik[out$same == 1] <- ""
out$za_adnotacje[out$same == 1] <- ""
out$BN_URL[out$same == 1] <- ""
#pętla zapisująca po ok. 2000 wierszy z uwzględnieniem kompletności rekordów bibliograficznych rozpisanych na kilka wierszy
out <- out %>%
mutate(podzial = ifelse(rekord_BN!="",as.character(rekord_BN),NA)) %>%
fill(podzial)
ile <- unique(out$podzial)
ile <- split(unique(ile), ceiling(seq_along(unique(ile))/1500))
#aktualizacja - wpisz właściwy rok w ścieżkę pliku
x <- 1:length(ile)
for (i in x) {
progress(match(i,x), max.value = length(x))
final <- out %>%
filter(podzial %in% ile[[i]]) %>%
select(-podzial)
write.xlsx(final, paste("C:/Users/Cezary/Desktop/2009_antologie_do_importu",i,".xlsx",sep = ""),sheetName = "gotowe")
}Progress: 1 on 1 data <- bn_ok %>%
filter(rodzaj_ksiazki=="współwydanie") %>%
mutate(redaktor_dzialu = paste(redaktor_dzialu,"_wsp",sep = ""))
#uwolnienie kolumn z danymi z bn i przetworzenie do PBL
#1: za_uwagi, rz_nazwa, za_ro_rok, za_type, rz_rodzaj_id, tw_tworca_id, tw_nazwisko, tw_imie, dz_dzial_id, dz_nazwa, redaktor_dzialu
pola_pbl <- data %>%
select(ZA_UWAGI, RZ_NAZWA, ZA_RO_ROK = rok, RZ_RODZAJ_ID, TW_TWORCA_ID, TW_NAZWISKO, TW_IMIE, DZ_DZIAL_ID, DZ_NAZWA, redaktor_dzialu) %>%
mutate(ZA_TYPE = "KS")
#2: autor
BN_autor <- data %>%
select(ZA_UWAGI,X245) %>%
mutate(X245 = str_extract(X245, "(?<=\\/\\$c)(.*?)(?= ;|$)"),
X245 = str_remove(X245,"\\.$"),
X245 = str_remove(X245,"\\["),
X245 = str_remove(X245,"\\]"),
AM_NAZWISKO = ifelse(grepl(" [a-zaáàâãäăāåąæeéèêëěēėęiíìîïīįioóòôõöőøœuúùûüűūůyýcćčçdďđđgģğkķlłļnńñňņŋrřsśšşsßtťŧþţzżźž\\.]* ",X245),as.character(X245),str_replace(X245,"(^.*?)( )(?!.* )(.*$)","\\3")),
AM_IMIE = ifelse(grepl(" [a-zaáàâãäăāåąæeéèêëěēėęiíìîïīįioóòôõöőøœuúùûüűūůyýcćčçdďđđgģğkķlłļnńñňņŋrřsśšşsßtťŧþţzżźž\\.]* ",X245),"*",str_replace(X245,"(^.*?)( )(?!.* )(.*$)","\\1")),
nazwa = str_replace_all(str_to_lower(paste(AM_NAZWISKO,AM_IMIE, sep = "")), "\\W", "")) %>%
left_join(.,PBL_autorzy %>% select(AM_AUTOR_ID,AM_KRYPTONIM,AM_LICZBA_ZAPISOW,nazwa) %>% filter(is.na(AM_KRYPTONIM)),by="nazwa") %>%
arrange(ZA_UWAGI,AM_NAZWISKO,AM_IMIE,-AM_LICZBA_ZAPISOW)
BN_autor$id_grupy <- cumsum(!duplicated(BN_autor[1:4]))
BN_autor <- BN_autor[!duplicated(BN_autor$id_grupy),] %>%
mutate(ZA_ADNOTACJE = NA) %>%
select(ZA_UWAGI,AM_NAZWISKO,AM_IMIE,ZA_ADNOTACJE,AM_AUTOR_ID)
#3: tytuł
#pole 245
marc_field_245 <- data %>%
select(ZA_UWAGI,X245)%>%
filter(X245!="") %>%
mutate(X245=str_remove_all(X245,"~"),
X245=str_replace_all(X245,"(^|\\|)","~\\1")) %>%
cSplit(.,"X245",sep = "~",direction = "long") %>%
filter(X245!="") %>%
mutate(X245=str_remove_all(X245,"^\\|")) %>%
mutate(indicator = str_replace_all(X245,"(^.*?)(\\$.*)","\\1"))
subfield_list<- str_extract_all(data$X245,"\\$.")
subfield_list<- unique(unlist(subfield_list))
empty_table<- data.frame(matrix(ncol = length(subfield_list),nrow = lengths(marc_field_245)[1]))
colnames(empty_table) <-subfield_list
marc_field_245<-cbind(marc_field_245,empty_table)
subfield_list_char <- paste("(",subfield_list,")",sep = "")
subfield_list_char <- str_replace_all(subfield_list_char,"\\$","\\\\$")
x <- 1:length(subfield_list)
for (i in x) {
progress(match(i,x), max.value = length(x))
marc_field_245$X245 <- str_replace(marc_field_245$X245,subfield_list_char[i],"|\\1")
}Progress: 1 on 3 Progress: 2 on 3 Progress: 3 on 3 for (i in x) {
progress(match(i,x), max.value = length(x))
subfield_list_char2 <- str_replace_all(subfield_list,"\\$","\\\\$")
string_a <- "(^)(.*?\\|"
string_b <- subfield_list_char2[i]
string_c <- ")(.*?)(\\,{0,1})((\\|\\$)(.*)|$)"
string <- paste(string_a,string_b,string_c,sep = "")
marc_field_245[,i+3] <- ifelse(grepl(subfield_list_char2[i],marc_field_245$X245),str_replace_all(gsub(string,"\\3",marc_field_245$X245),"\\${2}.", "~"),NA)
}Progress: 1 on 3 Progress: 2 on 3 Progress: 3 on 3 if("$n" %in% colnames(marc_field_245)) {
marc_field_245 <- marc_field_245 %>%
select(ZA_UWAGI,`$a`,`$b`,`$n`,`$p`) %>%
group_by(ZA_UWAGI) %>%
mutate(`$a` = paste(ifelse(is.na(`$a`),"",as.character(`$a`)),collapse = " "),
`$b` = paste(ifelse(is.na(`$b`),"",as.character(`$b`)),collapse = " "),
`$n` = paste(ifelse(is.na(`$n`),"",as.character(`$n`)),collapse = " "),
`$p` = paste(ifelse(is.na(`$p`),"",as.character(`$p`)),collapse = " ")) %>%
ungroup() %>%
unique() %>%
unite("ZA_TYTUL",`$a`:`$p`,sep = " ",na.rm = TRUE) %>%
mutate(ZA_TYTUL = str_replace_all(ZA_TYTUL," +"," "),
ZA_TYTUL = str_remove(ZA_TYTUL, "\\s+\\/\\s{0,}$"),
ZA_TYTUL = ifelse(grepl("([a-zaáàâãäăāåąæeéèêëěēėęiíìîïīįioóòôõöőøœuúùûüűūůyýcćčçdďđđgģğkķlłļnńñňņŋrřsśšşsßtťŧþţzżźžIVX])( )(:|;)( )(\\(|\\[)(.)",ZA_TYTUL),gsub("([a-zaáàâãäăāåąæeéèêëěēėęiíìîïīįioóòôõöőøœuúùûüűūůyýcćčçdďđđgģğkķlłļnńñňņŋrřsśšşsßtťŧþţzżźžIVX])( )(:|;)( )(\\(|\\[)(.)","\\1.\\2\\5\\U\\6",perl=TRUE,ZA_TYTUL),
ifelse(grepl("(\\W)( )(:|;)( )(\\(|\\[)(.)",ZA_TYTUL),gsub("(\\W)( )(:|;)( )(\\(|\\[)(.)","\\1\\2\\U\\5\\6",perl = TRUE,ZA_TYTUL),
ifelse(grepl("([a-zaáàâãäăāåąæeéèêëěēėęiíìîïīįioóòôõöőøœuúùûüűūůyýcćčçdďđđgģğkķlłļnńñňņŋrřsśšşsßtťŧþţzżźžIVX])( )(:|;)( )(.)",ZA_TYTUL),gsub("([a-zaáàâãäăāåąæeéèêëěēėęiíìîïīįioóòôõöőøœuúùûüűūůyýcćčçdďđđgģğkķlłļnńñňņŋrřsśšşsßtťŧþţzżźžIVX])( )(:|;)( )(.)","\\1.\\2\\U\\5",perl = TRUE,ZA_TYTUL),
ifelse(grepl("(\\W)( )(:|;)( )(.)",ZA_TYTUL),gsub("(\\W)( )(:|;)( )(.)","\\1\\2\\U\\5",perl = TRUE,ZA_TYTUL),as.character(ZA_TYTUL))))),
ZA_TYTUL = ifelse(grepl("([a-zaáàâãäăāåąæeéèêëěēėęiíìîïīįioóòôõöőøœuúùûüűūůyýcćčçdďđđgģğkķlłļnńñňņŋrřsśšşsßtťŧþţzżźžIVX])( )(:|;)( )(\\(|\\[)(.)",ZA_TYTUL),gsub("([a-zaáàâãäăāåąæeéèêëěēėęiíìîïīįioóòôõöőøœuúùûüűūůyýcćčçdďđđgģğkķlłļnńñňņŋrřsśšşsßtťŧþţzżźžIVX])( )(:|;)( )(\\(|\\[)(.)","\\1.\\2\\5\\U\\6",perl=TRUE,ZA_TYTUL),
ifelse(grepl("(\\W)( )(:|;)( )(\\(|\\[)(.)",ZA_TYTUL),gsub("(\\W)( )(:|;)( )(\\(|\\[)(.)","\\1\\2\\U\\5\\6",perl = TRUE,ZA_TYTUL),
ifelse(grepl("([a-zaáàâãäăāåąæeéèêëěēėęiíìîïīįioóòôõöőøœuúùûüűūůyýcćčçdďđđgģğkķlłļnńñňņŋrřsśšşsßtťŧþţzżźžIVX])( )(:|;)( )(.)",ZA_TYTUL),gsub("([a-zaáàâãäăāåąæeéèêëěēėęiíìîïīįioóòôõöőøœuúùûüűūůyýcćčçdďđđgģğkķlłļnńñňņŋrřsśšşsßtťŧþţzżźžIVX])( )(:|;)( )(.)","\\1.\\2\\U\\5",perl = TRUE,ZA_TYTUL),
ifelse(grepl("(\\W)( )(:|;)( )(.)",ZA_TYTUL),gsub("(\\W)( )(:|;)( )(.)","\\1\\2\\U\\5",perl = TRUE,ZA_TYTUL),as.character(ZA_TYTUL))))),
ZA_TYTUL = str_replace_all(ZA_TYTUL,"\\.{3} \\.{3}","... "),
ZA_TYTUL = str_replace_all(ZA_TYTUL," ; ",". "),
ZA_TYTUL = gsub("( : )(.)",". \\U\\2",perl=TRUE,ZA_TYTUL)) %>%
select(ZA_UWAGI,ZA_TYTUL)
} else {
marc_field_245 <- marc_field_245 %>%
select(ZA_UWAGI,`$a`,`$b`) %>%
group_by(ZA_UWAGI) %>%
mutate(`$a` = paste(ifelse(is.na(`$a`),"",as.character(`$a`)),collapse = " "),
`$b` = paste(ifelse(is.na(`$b`),"",as.character(`$b`)),collapse = " ")) %>%
ungroup() %>%
unique() %>%
unite("ZA_TYTUL",`$a`:`$b`,sep = " ",na.rm = TRUE) %>%
mutate(ZA_TYTUL = str_replace_all(ZA_TYTUL," +"," "),
ZA_TYTUL = str_remove(ZA_TYTUL, "\\s+\\/\\s{0,}$"),
ZA_TYTUL = ifelse(grepl("([a-zaáàâãäăāåąæeéèêëěēėęiíìîïīįioóòôõöőøœuúùûüűūůyýcćčçdďđđgģğkķlłļnńñňņŋrřsśšşsßtťŧþţzżźžIVX])( )(:|;)( )(\\(|\\[)(.)",ZA_TYTUL),gsub("([a-zaáàâãäăāåąæeéèêëěēėęiíìîïīįioóòôõöőøœuúùûüűūůyýcćčçdďđđgģğkķlłļnńñňņŋrřsśšşsßtťŧþţzżźžIVX])( )(:|;)( )(\\(|\\[)(.)","\\1.\\2\\5\\U\\6",perl=TRUE,ZA_TYTUL),
ifelse(grepl("(\\W)( )(:|;)( )(\\(|\\[)(.)",ZA_TYTUL),gsub("(\\W)( )(:|;)( )(\\(|\\[)(.)","\\1\\2\\U\\5\\6",perl = TRUE,ZA_TYTUL),
ifelse(grepl("([a-zaáàâãäăāåąæeéèêëěēėęiíìîïīįioóòôõöőøœuúùûüűūůyýcćčçdďđđgģğkķlłļnńñňņŋrřsśšşsßtťŧþţzżźžIVX])( )(:|;)( )(.)",ZA_TYTUL),gsub("([a-zaáàâãäăāåąæeéèêëěēėęiíìîïīįioóòôõöőøœuúùûüűūůyýcćčçdďđđgģğkķlłļnńñňņŋrřsśšşsßtťŧþţzżźžIVX])( )(:|;)( )(.)","\\1.\\2\\U\\5",perl = TRUE,ZA_TYTUL),
ifelse(grepl("(\\W)( )(:|;)( )(.)",ZA_TYTUL),gsub("(\\W)( )(:|;)( )(.)","\\1\\2\\U\\5",perl = TRUE,ZA_TYTUL),as.character(ZA_TYTUL))))),
ZA_TYTUL = ifelse(grepl("([a-zaáàâãäăāåąæeéèêëěēėęiíìîïīįioóòôõöőøœuúùûüűūůyýcćčçdďđđgģğkķlłļnńñňņŋrřsśšşsßtťŧþţzżźžIVX])( )(:|;)( )(\\(|\\[)(.)",ZA_TYTUL),gsub("([a-zaáàâãäăāåąæeéèêëěēėęiíìîïīįioóòôõöőøœuúùûüűūůyýcćčçdďđđgģğkķlłļnńñňņŋrřsśšşsßtťŧþţzżźžIVX])( )(:|;)( )(\\(|\\[)(.)","\\1.\\2\\5\\U\\6",perl=TRUE,ZA_TYTUL),
ifelse(grepl("(\\W)( )(:|;)( )(\\(|\\[)(.)",ZA_TYTUL),gsub("(\\W)( )(:|;)( )(\\(|\\[)(.)","\\1\\2\\U\\5\\6",perl = TRUE,ZA_TYTUL),
ifelse(grepl("([a-zaáàâãäăāåąæeéèêëěēėęiíìîïīįioóòôõöőøœuúùûüűūůyýcćčçdďđđgģğkķlłļnńñňņŋrřsśšşsßtťŧþţzżźžIVX])( )(:|;)( )(.)",ZA_TYTUL),gsub("([a-zaáàâãäăāåąæeéèêëěēėęiíìîïīįioóòôõöőøœuúùûüűūůyýcćčçdďđđgģğkķlłļnńñňņŋrřsśšşsßtťŧþţzżźžIVX])( )(:|;)( )(.)","\\1.\\2\\U\\5",perl = TRUE,ZA_TYTUL),
ifelse(grepl("(\\W)( )(:|;)( )(.)",ZA_TYTUL),gsub("(\\W)( )(:|;)( )(.)","\\1\\2\\U\\5",perl = TRUE,ZA_TYTUL),as.character(ZA_TYTUL))))),
ZA_TYTUL = str_replace_all(ZA_TYTUL,"\\.{3} \\.{3}","... "),
ZA_TYTUL = str_replace_all(ZA_TYTUL," ; ",". "),
ZA_TYTUL = gsub("( : )(.)",". \\U\\2",perl=TRUE,ZA_TYTUL)) %>%
select(ZA_UWAGI,ZA_TYTUL)
}
tytul_wspolwydanie <- marc_field_245
#dopisanie gatunku do przedmiotowej na podstawie 655 i 650
gatunki_pbl <- data.frame(gatunek = c("aforyzm", "album", "antologia", "autobiografia", "dziennik", "esej", "felieton", "inne", "kazanie", "list", "miniatura prozą", "opowiadanie", "poemat", "powieść", "proza", "proza poetycka", "reportaż", "rozmyślanie religijne", "rysunek, obraz", "scenariusz", "szkic", "tekst biblijny", "tekst dramatyczny", "dramat", "wiersz", "wspomnienia", "wypowiedź", "pamiętniki", "poezja", "literatura podróżnicza", "satyra", "piosenka"))
#dramat, pamiętniki, poezja, literatura podróżnicza, satyra, piosenka
gatunki_bn <- data %>%
select(ZA_UWAGI,X655,X650)
gatunki_bn <- sqldf("select *
from gatunki_bn
left join gatunki_pbl on lower(gatunki_bn.X655) like '%'||gatunki_pbl.gatunek||'%'")
gatunki_bn <- sqldf("select *
from gatunki_bn
left join gatunki_pbl on lower(gatunki_bn.X650) like '%'||gatunki_pbl.gatunek||'%'")
colnames(gatunki_bn)[5] <- "gatunek2"
gatunki_bn <- gatunki_bn %>%
mutate(gatunek = ifelse(is.na(gatunek)&!is.na(gatunek2),as.character(gatunek2),as.character(gatunek)),
gatunek = ifelse(grepl("przypowieść",X655,ignore.case = TRUE)&!grepl("[^y]powieść",X655)&gatunek=="powieść","opowiadanie",as.character(gatunek))) %>%
filter(!is.na(gatunek)) %>%
select(ZA_UWAGI,gatunek) %>%
mutate(gatunek = ifelse(gatunek=="dramat","tekst dramatyczny",
ifelse(gatunek=="pamiętniki","wspomnienia",
ifelse(gatunek=="poezja","wiersz",
ifelse(gatunek=="literatura podróżnicza","reportaż",
ifelse(gatunek=="piosenka","wiersz",as.character(gatunek))))))) %>%
group_by(ZA_UWAGI) %>%
mutate(gatunek = paste(gatunek,collapse = ", ")) %>%
ungroup() %>%
unique() %>%
mutate(gatunek = gsub("(^.)","\\U\\1",perl = TRUE, gatunek))
#połączenie tytułu z gatunkiem
za_tytul <- marc_field_245 %>%
left_join(.,gatunki_bn,by="ZA_UWAGI") %>%
mutate(gatunek = paste("[",gatunek,"]",sep = ""),
gatunek = ifelse(gatunek=="[NA]",NA,as.character(gatunek))) %>%
unite("ZA_TYTUL", ZA_TYTUL:gatunek, sep = ". ",na.rm=TRUE) %>%
mutate(ZA_TYTUL = str_replace_all(ZA_TYTUL,"\\. \\.",". "),
ZA_TYTUL = str_replace(ZA_TYTUL,"(\\!)(\\.)|(\\?)(\\.)","\\1"))
#4: tytuł oryginału
#pole 246
marc_field_246 <- data %>%
select(ZA_UWAGI,X246)%>%
filter(X246!="") %>%
mutate(X246=str_remove_all(X246,"~"),
X246=str_replace_all(X246,"(^|\\|)","~\\1")) %>%
cSplit(.,"X246",sep = "~",direction = "long") %>%
filter(X246!="") %>%
mutate(X246=str_remove_all(X246,"^\\|")) %>%
mutate(indicator = str_replace_all(X246,"(^.*?)(\\$.*)","\\1"))
subfield_list<- str_extract_all(data$X246,"\\$.")
subfield_list<- unique(unlist(subfield_list))
empty_table<- data.frame(matrix(ncol = length(subfield_list),nrow = lengths(marc_field_246)[1]))
colnames(empty_table) <-subfield_list
marc_field_246<-cbind(marc_field_246,empty_table)
subfield_list_char <- paste("(",subfield_list,")",sep = "")
subfield_list_char <- str_replace_all(subfield_list_char,"\\$","\\\\$")
x <- 1:length(subfield_list)
for (i in x) {
progress(match(i,x), max.value = length(x))
marc_field_246$X246 <- str_replace(marc_field_246$X246,subfield_list_char[i],"|\\1")
}Progress: 1 on 5 Progress: 2 on 5 Progress: 3 on 5 Progress: 4 on 5 Progress: 5 on 5 for (i in x) {
progress(match(i,x), max.value = length(x))
subfield_list_char2 <- str_replace_all(subfield_list,"\\$","\\\\$")
string_a <- "(^)(.*?\\|"
string_b <- subfield_list_char2[i]
string_c <- ")(.*?)(\\,{0,1})((\\|\\$)(.*)|$)"
string <- paste(string_a,string_b,string_c,sep = "")
marc_field_246[,i+3] <- ifelse(grepl(subfield_list_char2[i],marc_field_246$X246),str_replace_all(gsub(string,"\\3",marc_field_246$X246),"\\${2}.", "~"),NA)
}Progress: 1 on 5 Progress: 2 on 5 Progress: 3 on 5 Progress: 4 on 5 Progress: 5 on 5 if("$n" %in% colnames(marc_field_246)) {
marc_field_246 <- marc_field_246[, colSums(is.na(marc_field_246)) != nrow(marc_field_246)] %>%
filter(grepl("oryg",X246)) %>%
select(ZA_UWAGI,`$a`,`$b`,`$n`,`$p`) %>%
group_by(ZA_UWAGI) %>%
mutate(`$a` = paste(ifelse(is.na(`$a`),"",as.character(`$a`)),collapse = ", "),
`$b` = paste(ifelse(is.na(`$b`),"",as.character(`$b`)),collapse = ""),
`$n` = paste(ifelse(is.na(`$n`),"",as.character(`$n`)),collapse = ""),
`$p` = paste(ifelse(is.na(`$p`),"",as.character(`$p`)),collapse = "")) %>%
ungroup() %>%
unique() %>%
unite("X246",`$a`:`$p`,sep = " ",na.rm = TRUE) %>%
mutate(X246 = str_replace_all(X246," +"," "),
X246 = str_remove(X246, "\\s+\\/\\s{0,}$"),
X246 = ifelse(grepl("([a-zaáàâãäăāåąæeéèêëěēėęiíìîïīįioóòôõöőøœuúùûüűūůyýcćčçdďđđgģğkķlłļnńñňņŋrřsśšşsßtťŧþţzżźžIVX])( )(:|;)( ){0,1}(\\(|\\[)(.)",X246),gsub("([a-zaáàâãäăāåąæeéèêëěēėęiíìîïīįioóòôõöőøœuúùûüűūůyýcćčçdďđđgģğkķlłļnńñňņŋrřsśšşsßtťŧþţzżźžIVX])( )(:|;)( ){0,1}(\\(|\\[)(.)","\\1.\\2\\5\\U\\6",perl=TRUE,X246),
ifelse(grepl("(\\W)( )(:|;)( )(\\(|\\[)(.)",X246),gsub("(\\W)( )(:|;)( )(\\(|\\[)(.)","\\1\\2\\U\\5\\6",perl = TRUE,X246),
ifelse(grepl("([a-zaáàâãäăāåąæeéèêëěēėęiíìîïīįioóòôõöőøœuúùûüűūůyýcćčçdďđđgģğkķlłļnńñňņŋrřsśšşsßtťŧþţzżźžIVX])( )(:|;)( ){0,1}(.)",X246),gsub("([a-zaáàâãäăāåąæeéèêëěēėęiíìîïīįioóòôõöőøœuúùûüűūůyýcćčçdďđđgģğkķlłļnńñňņŋrřsśšşsßtťŧþţzżźžIVX])( )(:|;)( ){0,1}(.)","\\1.\\2\\U\\5",perl = TRUE,X246),
ifelse(grepl("(\\W)( )(:|;)( )(.)",X246),gsub("(\\W)( )(:|;)( )(.)","\\1\\2\\U\\5",perl = TRUE,X246),as.character(X246))))),
X246 = ifelse(grepl("([a-zaáàâãäăāåąæeéèêëěēėęiíìîïīįioóòôõöőøœuúùûüűūůyýcćčçdďđđgģğkķlłļnńñňņŋrřsśšşsßtťŧþţzżźžIVX])( )(:|;)( ){0,1}(\\(|\\[)(.)",X246),gsub("([a-zaáàâãäăāåąæeéèêëěēėęiíìîïīįioóòôõöőøœuúùûüűūůyýcćčçdďđđgģğkķlłļnńñňņŋrřsśšşsßtťŧþţzżźžIVX])( )(:|;)( ){0,1}(\\(|\\[)(.)","\\1.\\2\\5\\U\\6",perl=TRUE,X246),
ifelse(grepl("(\\W)( )(:|;)( )(\\(|\\[)(.)",X246),gsub("(\\W)( )(:|;)( )(\\(|\\[)(.)","\\1\\2\\U\\5\\6",perl = TRUE,X246),
ifelse(grepl("([a-zaáàâãäăāåąæeéèêëěēėęiíìîïīįioóòôõöőøœuúùûüűūůyýcćčçdďđđgģğkķlłļnńñňņŋrřsśšşsßtťŧþţzżźžIVX])( )(:|;)( ){0,1}(.)",X246),gsub("([a-zaáàâãäăāåąæeéèêëěēėęiíìîïīįioóòôõöőøœuúùûüűūůyýcćčçdďđđgģğkķlłļnńñňņŋrřsśšşsßtťŧþţzżźžIVX])( )(:|;)( ){0,1}(.)","\\1.\\2\\U\\5",perl = TRUE,X246),
ifelse(grepl("(\\W)( )(:|;)( ){0,1}(.)",X246),gsub("(\\W)( )(:|;)( ){0,1}(.)","\\1\\2\\U\\5",perl = TRUE,X246),as.character(X246))))),
X246 = str_replace_all(X246,"\\.{3} \\.{3}","... "),
X246 = gsub("( : )(.)",". \\U\\2",perl=TRUE,X246)) %>%
select(ZA_UWAGI, X246)
} else {
marc_field_246 <- marc_field_246[, colSums(is.na(marc_field_246)) != nrow(marc_field_246)] %>%
filter(grepl("oryg",X246)) %>%
select(ZA_UWAGI,`$a`,`$b`) %>%
group_by(ZA_UWAGI) %>%
mutate(`$a` = paste(ifelse(is.na(`$a`),"",as.character(`$a`)),collapse = ", "),
`$b` = paste(ifelse(is.na(`$b`),"",as.character(`$b`)),collapse = "")) %>%
ungroup() %>%
unique() %>%
unite("X246",`$a`:`$b`,sep = " ",na.rm = TRUE) %>%
mutate(X246 = str_replace_all(X246," +"," "),
X246 = str_remove(X246, "\\s+\\/\\s{0,}$"),
X246 = ifelse(grepl("([a-zaáàâãäăāåąæeéèêëěēėęiíìîïīįioóòôõöőøœuúùûüűūůyýcćčçdďđđgģğkķlłļnńñňņŋrřsśšşsßtťŧþţzżźžIVX])( )(:|;)( ){0,1}(\\(|\\[)(.)",X246),gsub("([a-zaáàâãäăāåąæeéèêëěēėęiíìîïīįioóòôõöőøœuúùûüűūůyýcćčçdďđđgģğkķlłļnńñňņŋrřsśšşsßtťŧþţzżźžIVX])( )(:|;)( ){0,1}(\\(|\\[)(.)","\\1.\\2\\5\\U\\6",perl=TRUE,X246),
ifelse(grepl("(\\W)( )(:|;)( )(\\(|\\[)(.)",X246),gsub("(\\W)( )(:|;)( )(\\(|\\[)(.)","\\1\\2\\U\\5\\6",perl = TRUE,X246),
ifelse(grepl("([a-zaáàâãäăāåąæeéèêëěēėęiíìîïīįioóòôõöőøœuúùûüűūůyýcćčçdďđđgģğkķlłļnńñňņŋrřsśšşsßtťŧþţzżźžIVX])( )(:|;)( ){0,1}(.)",X246),gsub("([a-zaáàâãäăāåąæeéèêëěēėęiíìîïīįioóòôõöőøœuúùûüűūůyýcćčçdďđđgģğkķlłļnńñňņŋrřsśšşsßtťŧþţzżźžIVX])( )(:|;)( ){0,1}(.)","\\1.\\2\\U\\5",perl = TRUE,X246),
ifelse(grepl("(\\W)( )(:|;)( )(.)",X246),gsub("(\\W)( )(:|;)( )(.)","\\1\\2\\U\\5",perl = TRUE,X246),as.character(X246))))),
X246 = ifelse(grepl("([a-zaáàâãäăāåąæeéèêëěēėęiíìîïīįioóòôõöőøœuúùûüűūůyýcćčçdďđđgģğkķlłļnńñňņŋrřsśšşsßtťŧþţzżźžIVX])( )(:|;)( ){0,1}(\\(|\\[)(.)",X246),gsub("([a-zaáàâãäăāåąæeéèêëěēėęiíìîïīįioóòôõöőøœuúùûüűūůyýcćčçdďđđgģğkķlłļnńñňņŋrřsśšşsßtťŧþţzżźžIVX])( )(:|;)( ){0,1}(\\(|\\[)(.)","\\1.\\2\\5\\U\\6",perl=TRUE,X246),
ifelse(grepl("(\\W)( )(:|;)( )(\\(|\\[)(.)",X246),gsub("(\\W)( )(:|;)( )(\\(|\\[)(.)","\\1\\2\\U\\5\\6",perl = TRUE,X246),
ifelse(grepl("([a-zaáàâãäăāåąæeéèêëěēėęiíìîïīįioóòôõöőøœuúùûüűūůyýcćčçdďđđgģğkķlłļnńñňņŋrřsśšşsßtťŧþţzżźžIVX])( )(:|;)( ){0,1}(.)",X246),gsub("([a-zaáàâãäăāåąæeéèêëěēėęiíìîïīįioóòôõöőøœuúùûüűūůyýcćčçdďđđgģğkķlłļnńñňņŋrřsśšşsßtťŧþţzżźžIVX])( )(:|;)( ){0,1}(.)","\\1.\\2\\U\\5",perl = TRUE,X246),
ifelse(grepl("(\\W)( )(:|;)( ){0,1}(.)",X246),gsub("(\\W)( )(:|;)( ){0,1}(.)","\\1\\2\\U\\5",perl = TRUE,X246),as.character(X246))))),
X246 = str_replace_all(X246,"\\.{3} \\.{3}","... "),
X246 = gsub("( : )(.)",". \\U\\2",perl=TRUE,X246)) %>%
select(ZA_UWAGI, X246)
}
#pole 500
marc_field_500 <- data %>%
select(ZA_UWAGI,X500)%>%
filter(X500!="") %>%
mutate(X500=str_remove_all(X500,"~"),
X500=str_replace_all(X500,"(^|\\|)","~\\1")) %>%
cSplit(.,"X500",sep = "~",direction = "long") %>%
filter(X500!="") %>%
mutate(X500=str_remove_all(X500,"^\\|")) %>%
mutate(indicator = str_replace_all(X500,"(^.*?)(\\$.*)","\\1"))
subfield_list<- str_extract_all(data$X500,"\\$.")
subfield_list<- unique(unlist(subfield_list))
empty_table<- data.frame(matrix(ncol = length(subfield_list),nrow = lengths(marc_field_500)[1]))
colnames(empty_table) <-subfield_list
marc_field_500<-cbind(marc_field_500,empty_table)
subfield_list_char <- paste("(",subfield_list,")",sep = "")
subfield_list_char <- str_replace_all(subfield_list_char,"\\$","\\\\$")
x <- 1:length(subfield_list)
for (i in x) {
progress(match(i,x), max.value = length(x))
marc_field_500$X500 <- str_replace(marc_field_500$X500,subfield_list_char[i],"|\\1")
}Progress: 1 on 1 for (i in x) {
progress(match(i,x), max.value = length(x))
subfield_list_char2 <- str_replace_all(subfield_list,"\\$","\\\\$")
string_a <- "(^)(.*?\\|"
string_b <- subfield_list_char2[i]
string_c <- ")(.*?)(\\,{0,1})((\\|\\$)(.*)|$)"
string <- paste(string_a,string_b,string_c,sep = "")
marc_field_500[,i+3] <- ifelse(grepl(subfield_list_char2[i],marc_field_500$X500),str_replace_all(gsub(string,"\\3",marc_field_500$X500),"\\${2}.", "~"),NA)
}Progress: 1 on 1 marc_field_500 <- marc_field_500 %>%
filter(grepl("oryg\\.\\:",X500)) %>%
mutate(X500 = str_remove(`$a`,"^Tyt\\. oryg\\.: |^Tyt\\, oryg\\.: |^.*?tyt\\. oryg\\.: "),
X500 = str_remove(X500, "\\s+\\/\\s{0,}$"),
X500 = ifelse(grepl("([a-zaáàâãäăāåąæeéèêëěēėęiíìîïīįioóòôõöőøœuúùûüűūůyýcćčçdďđđgģğkķlłļnńñňņŋrřsśšşsßtťŧþţzżźžIVX])( )(:|;)( )(\\(|\\[)(.)",X500),gsub("([a-zaáàâãäăāåąæeéèêëěēėęiíìîïīįioóòôõöőøœuúùûüűūůyýcćčçdďđđgģğkķlłļnńñňņŋrřsśšşsßtťŧþţzżźžIVX])( )(:|;)( )(\\(|\\[)(.)","\\1.\\2\\5\\U\\6",perl=TRUE,X500),
ifelse(grepl("(\\W)( )(:|;)( )(\\(|\\[)(.)",X500),gsub("(\\W)( )(:|;)( )(\\(|\\[)(.)","\\1\\2\\U\\5\\6",perl = TRUE,X500),
ifelse(grepl("([a-zaáàâãäăāåąæeéèêëěēėęiíìîïīįioóòôõöőøœuúùûüűūůyýcćčçdďđđgģğkķlłļnńñňņŋrřsśšşsßtťŧþţzżźžIVX])( )(:|;)( )(.)",X500),gsub("([a-zaáàâãäăāåąæeéèêëěēėęiíìîïīįioóòôõöőøœuúùûüűūůyýcćčçdďđđgģğkķlłļnńñňņŋrřsśšşsßtťŧþţzżźžIVX])( )(:|;)( )(.)","\\1.\\2\\U\\5",perl = TRUE,X500),
ifelse(grepl("(\\W)( )(:|;)( )(.)",X500),gsub("(\\W)( )(:|;)( )(.)","\\1\\2\\U\\5",perl = TRUE,X500),as.character(X500))))),
X500 = ifelse(grepl("([a-zaáàâãäăāåąæeéèêëěēėęiíìîïīįioóòôõöőøœuúùûüűūůyýcćčçdďđđgģğkķlłļnńñňņŋrřsśšşsßtťŧþţzżźžIVX])( )(:|;)( )(\\(|\\[)(.)",X500),gsub("([a-zaáàâãäăāåąæeéèêëěēėęiíìîïīįioóòôõöőøœuúùûüűūůyýcćčçdďđđgģğkķlłļnńñňņŋrřsśšşsßtťŧþţzżźžIVX])( )(:|;)( )(\\(|\\[)(.)","\\1.\\2\\5\\U\\6",perl=TRUE,X500),
ifelse(grepl("(\\W)( )(:|;)( )(\\(|\\[)(.)",X500),gsub("(\\W)( )(:|;)( )(\\(|\\[)(.)","\\1\\2\\U\\5\\6",perl = TRUE,X500),
ifelse(grepl("([a-zaáàâãäăāåąæeéèêëěēėęiíìîïīįioóòôõöőøœuúùûüűūůyýcćčçdďđđgģğkķlłļnńñňņŋrřsśšşsßtťŧþţzżźžIVX])( )(:|;)( )(.)",X500),gsub("([a-zaáàâãäăāåąæeéèêëěēėęiíìîïīįioóòôõöőøœuúùûüűūůyýcćčçdďđđgģğkķlłļnńñňņŋrřsśšşsßtťŧþţzżźžIVX])( )(:|;)( )(.)","\\1.\\2\\U\\5",perl = TRUE,X500),
ifelse(grepl("(\\W)( )(:|;)( )(.)",X500),gsub("(\\W)( )(:|;)( )(.)","\\1\\2\\U\\5",perl = TRUE,X500),as.character(X500))))),
X500 = str_replace_all(X500,"\\.{3} \\.{3}","... "),
X500 = str_remove(X500, "\\.$"),
X500 = str_remove(X500,"(,{0,1} {0,1})\\d{4}.*$|(, t|. T)yt. oryg. cyklu:")) %>%
select(ZA_UWAGI,X500)
#tytuł oryginału
za_tytul_oryginalu <- data %>%
select(ZA_UWAGI) %>%
left_join(.,marc_field_246,by="ZA_UWAGI") %>%
left_join(.,marc_field_500,by="ZA_UWAGI") %>%
mutate(X500 = ifelse(is.na(X500),NA,
ifelse(grepl("oryg",X500),NA,as.character(X500))),
X500 = ifelse(!is.na(X500)&grepl("\\. - ",X500),str_replace(X500,"(.*?)(\\. - .*$)","\\1"),as.character(X500)),
X500 = ifelse(!is.na(X500)&grepl("Na książce pseud",X500),str_replace(X500,"(.*?)(\\. Na książce pseud.*$)","\\1"),as.character(X500)),
X500 = ifelse(!is.na(X500)&grepl("Przekł\\. wg",X500),str_replace(X500,"(.*?)(\\. Przekł\\. wg.*$)","\\1"),as.character(X500)),
ZA_TYTUL_ORYGINALU = ifelse(is.na(X246)&is.na(X500),NA,
ifelse(!is.na(X500),as.character(X500),as.character(X246))),
ZA_TYTUL_ORYGINALU = str_remove_all(ZA_TYTUL_ORYGINALU,'\\"')) %>%
select(ZA_UWAGI,ZA_TYTUL_ORYGINALU)
#5: język oryginału
marc_field_041 <- data %>%
select(ZA_UWAGI,X041)%>%
filter(X041!="") %>%
mutate(X041=str_replace_all(X041,"(^|\\|)","~\\1")) %>%
cSplit(.,"X041",sep = "~",direction = "long") %>%
filter(X041!="") %>%
mutate(X041=str_remove_all(X041,"^\\|")) %>%
mutate(indicator = str_replace_all(X041,"(^.*?)(\\$.*)","\\1"))
subfield_list<- str_extract_all(data$X041,"\\$.")
subfield_list<- unique(unlist(subfield_list))
empty_table<- data.frame(matrix(ncol = length(subfield_list),nrow = lengths(marc_field_041)[1]))
colnames(empty_table) <-subfield_list
marc_field_041<-cbind(marc_field_041,empty_table)
subfield_list_char <- paste("(",subfield_list,")",sep = "")
subfield_list_char <- str_replace_all(subfield_list_char,"\\$","\\\\$")
x <- 1:length(subfield_list)
for (i in x) {
progress(match(i,x), max.value = length(x))
marc_field_041$X041 <- str_replace(marc_field_041$X041,subfield_list_char[i],"|\\1")
}Progress: 1 on 3 Progress: 2 on 3 Progress: 3 on 3 for (i in x) {
progress(match(i,x), max.value = length(x))
subfield_list_char2 <- str_replace_all(subfield_list,"\\$","\\\\$")
string_a <- "(^)(.*?\\|"
string_b <- subfield_list_char2[i]
string_c <- ")(.*?)(\\,{0,1})((\\|\\$)(.*)|$)"
string <- paste(string_a,string_b,string_c,sep = "")
marc_field_041[,i+3] <- ifelse(grepl(subfield_list_char2[i],marc_field_041$X041),str_replace_all(gsub(string,"\\3",marc_field_041$X041),"\\${2}.", "~"),NA)
}Progress: 1 on 3 Progress: 2 on 3 Progress: 3 on 3 za_jezyk_oryginalu <- data %>%
select(ZA_UWAGI) %>%
left_join(.,marc_field_041 %>% select(ZA_UWAGI,ZA_JEZYK_ORYGINALU = `$a`),by="ZA_UWAGI") %>%
mutate(ZA_JEZYK_ORYGINALU = str_replace_all(ZA_JEZYK_ORYGINALU,"\\$a",",")) %>%
unique()
#6: współtwórcy
BN_wspoltworca <- data %>%
select(ZA_UWAGI,X245) %>%
mutate(wspoltworca = str_remove(str_remove_all(as.character(str_extract_all(data$X245,"(?<=; )(.*)(?=$)")),"\\.$"),"character\\(0\\)"),
wspoltworca = str_remove_all(wspoltworca," et al\\."))
marc_field_700 <- data %>%
select(ZA_UWAGI,X700)%>%
filter(X700!="") %>%
mutate(X700=str_replace_all(X700,"(..\\$a)","|\\1"),
X700=str_replace_all(X700,"(^|\\|)","~\\1")) %>%
cSplit(.,"X700",sep = "~",direction = "long") %>%
filter(X700!="") %>%
mutate(X700=str_remove_all(X700,"^\\|")) %>%
mutate(indicator = str_replace_all(X700,"(^.*?)(\\$.*)","\\1")) %>%
filter(X700!="")
subfield_list<- str_extract_all(data$X700,"\\$.")
subfield_list<- unique(unlist(subfield_list))
empty_table<- data.frame(matrix(ncol = length(subfield_list),nrow = lengths(marc_field_700)[1]))
colnames(empty_table) <-subfield_list
marc_field_700<-cbind(marc_field_700,empty_table)
subfield_list_char <- paste("(",subfield_list,")",sep = "")
subfield_list_char <- str_replace_all(subfield_list_char,"\\$","\\\\$")
x <- 1:length(subfield_list)
for (i in x) {
progress(match(i,x), max.value = length(x))
marc_field_700$X700 <- str_replace(marc_field_700$X700,subfield_list_char[i],"|\\1")
}Progress: 1 on 5 Progress: 2 on 5 Progress: 3 on 5 Progress: 4 on 5 Progress: 5 on 5 for (i in x) {
progress(match(i,x), max.value = length(x))
subfield_list_char2 <- str_replace_all(subfield_list,"\\$","\\\\$")
string_a <- "(^)(.*?\\|"
string_b <- subfield_list_char2[i]
string_c <- ")(.*?)(\\,{0,1})((\\|\\$)(.*)|$)"
string <- paste(string_a,string_b,string_c,sep = "")
marc_field_700[,i+3] <- ifelse(grepl(subfield_list_char2[i],marc_field_700$X700),str_replace_all(gsub(string,"\\3",marc_field_700$X700),"\\${2}.", "~"),NA)
}Progress: 1 on 5 Progress: 2 on 5 Progress: 3 on 5 Progress: 4 on 5 Progress: 5 on 5 marc_field_700 <- marc_field_700 %>%
select(ZA_UWAGI,osoba = `$a`,funkcja = `$e`) %>%
filter(!is.na(funkcja)) %>%
mutate(osoba = str_remove(osoba,"(?<=[a-zaáàâãäăāåąæeéèêëěēėęiíìîïīįioóòôõöőøœuúùûüűūůyýcćčçdďđđgģğkķlłļnńñňņŋrřsśšşsßtťŧþţzżźž])(\\.$)"),
osoba = ifelse(!grepl(",",osoba)&str_count(osoba," ")==1,str_replace(osoba," ",", "),as.character(osoba)),
OS_NAZWISKO = ifelse(grepl(",",osoba),str_replace_all(osoba,"(.*?)(, )(.*)","\\1"),as.character(osoba)),
OS_IMIE = ifelse(grepl(",",osoba),str_replace_all(osoba,"(.*?)(, )(.*)","\\3"),"*"),
ws_prosty = str_replace_all(str_to_lower(osoba), "\\W", ""),
fu_prosta = str_replace_all(str_to_lower(funkcja), "\\W", ""))
BN_wspoltworca <- BN_wspoltworca %>%
left_join(marc_field_700,by="ZA_UWAGI")
x <- 1:nrow(BN_wspoltworca)
for (i in x) {
progress(match(i,x), max.value = length(x))
BN_wspoltworca$czy_nazwisko[i] <- grepl(BN_wspoltworca$OS_NAZWISKO[i],BN_wspoltworca$wspoltworca[i])
BN_wspoltworca$czy_imie[i] <- grepl(BN_wspoltworca$OS_IMIE[i],BN_wspoltworca$wspoltworca[i])
}Progress: 1 on 158 Progress: 2 on 158 Progress: 3 on 158 Progress: 4 on 158 Progress: 5 on 158 Progress: 6 on 158 Progress: 7 on 158 Progress: 8 on 158 Progress: 9 on 158 Progress: 10 on 158 Progress: 11 on 158 Progress: 12 on 158 Progress: 13 on 158 Progress: 14 on 158 Progress: 15 on 158 Progress: 16 on 158 Progress: 17 on 158 Progress: 18 on 158 Progress: 19 on 158 Progress: 20 on 158 Progress: 21 on 158 Progress: 22 on 158 Progress: 23 on 158 Progress: 24 on 158 Progress: 25 on 158 Progress: 26 on 158 Progress: 27 on 158 Progress: 28 on 158 Progress: 29 on 158 Progress: 30 on 158 Progress: 31 on 158 Progress: 32 on 158 Progress: 33 on 158 Progress: 34 on 158 Progress: 35 on 158 Progress: 36 on 158 Progress: 37 on 158 Progress: 38 on 158 Progress: 39 on 158 Progress: 40 on 158 Progress: 41 on 158 Progress: 42 on 158 Progress: 43 on 158 Progress: 44 on 158 Progress: 45 on 158 Progress: 46 on 158 Progress: 47 on 158 Progress: 48 on 158 Progress: 49 on 158 Progress: 50 on 158 Progress: 51 on 158 Progress: 52 on 158 Progress: 53 on 158 Progress: 54 on 158 Progress: 55 on 158 Progress: 56 on 158 Progress: 57 on 158 Progress: 58 on 158 Progress: 59 on 158 Progress: 60 on 158 Progress: 61 on 158 Progress: 62 on 158 Progress: 63 on 158 Progress: 64 on 158 Progress: 65 on 158 Progress: 66 on 158 Progress: 67 on 158 Progress: 68 on 158 Progress: 69 on 158 Progress: 70 on 158 Progress: 71 on 158 Progress: 72 on 158 Progress: 73 on 158 Progress: 74 on 158 Progress: 75 on 158 Progress: 76 on 158 Progress: 77 on 158 Progress: 78 on 158 Progress: 79 on 158 Progress: 80 on 158 Progress: 81 on 158 Progress: 82 on 158 Progress: 83 on 158 Progress: 84 on 158 Progress: 85 on 158 Progress: 86 on 158 Progress: 87 on 158 Progress: 88 on 158 Progress: 89 on 158 Progress: 90 on 158 Progress: 91 on 158 Progress: 92 on 158 Progress: 93 on 158 Progress: 94 on 158 Progress: 95 on 158 Progress: 96 on 158 Progress: 97 on 158 Progress: 98 on 158 Progress: 99 on 158 Progress: 100 on 158 Progress: 101 on 158 Progress: 102 on 158 Progress: 103 on 158 Progress: 104 on 158 Progress: 105 on 158 Progress: 106 on 158 Progress: 107 on 158 Progress: 108 on 158 Progress: 109 on 158 Progress: 110 on 158 Progress: 111 on 158 Progress: 112 on 158 Progress: 113 on 158 Progress: 114 on 158 Progress: 115 on 158 Progress: 116 on 158 Progress: 117 on 158 Progress: 118 on 158 Progress: 119 on 158 Progress: 120 on 158 Progress: 121 on 158 Progress: 122 on 158 Progress: 123 on 158 Progress: 124 on 158 Progress: 125 on 158 Progress: 126 on 158 Progress: 127 on 158 Progress: 128 on 158 Progress: 129 on 158 Progress: 130 on 158 Progress: 131 on 158 Progress: 132 on 158 Progress: 133 on 158 Progress: 134 on 158 Progress: 135 on 158 Progress: 136 on 158 Progress: 137 on 158 Progress: 138 on 158 Progress: 139 on 158 Progress: 140 on 158 Progress: 141 on 158 Progress: 142 on 158 Progress: 143 on 158 Progress: 144 on 158 Progress: 145 on 158 Progress: 146 on 158 Progress: 147 on 158 Progress: 148 on 158 Progress: 149 on 158 Progress: 150 on 158 Progress: 151 on 158 Progress: 152 on 158 Progress: 153 on 158 Progress: 154 on 158 Progress: 155 on 158 Progress: 156 on 158 Progress: 157 on 158 Progress: 158 on 158 if (grepl("0|1",BN_wspoltworca$czy_nazwisko[1])) {
BN_wspoltworca <- BN_wspoltworca %>%
filter(czy_nazwisko==1|czy_imie==1)
} else {
BN_wspoltworca <- BN_wspoltworca %>%
filter(czy_nazwisko==TRUE|czy_imie==TRUE)
}
BN_wspoltworca <- BN_wspoltworca %>%
left_join(.,PBL_wspoltworcy %>% select(OS_OSOBA_ID,OS_LICZBA_ZAPISOW,nazwa_prosta),by=c("ws_prosty"="nazwa_prosta")) %>%
arrange(ZA_UWAGI,OS_NAZWISKO,OS_IMIE,-OS_LICZBA_ZAPISOW)
BN_wspoltworca$id_grupy <- cumsum(!duplicated(BN_wspoltworca[1:4]))
BN_wspoltworca <- BN_wspoltworca[!duplicated(BN_wspoltworca$id_grupy),] %>%
left_join(.,PBL_funkcje,by=c("fu_prosta"="nazwa")) %>%
mutate(fo_symbol = ifelse(fo_symbol=="NULL",NA,as.character(fo_symbol)),
ZA_ADNOTACJE = NA) %>%
select(ZA_UWAGI,OS_NAZWISKO,OS_IMIE,OS_OSOBA_ID,fo_symbol,fo_nazwa,funkcja)
#7: opis współtwórców
za_opis_wspoltworcow <- BN_wspoltworca %>%
select(ZA_UWAGI,funkcja,OS_IMIE,OS_NAZWISKO) %>%
unite("za_opis_wspoltworcow",c(funkcja,OS_IMIE,OS_NAZWISKO),sep = " ",na.rm = TRUE) %>%
group_by(ZA_UWAGI) %>%
mutate(za_opis_wspoltworcow = paste(za_opis_wspoltworcow,collapse = ". ")) %>%
ungroup() %>%
unique() %>%
right_join(.,data %>% select(ZA_UWAGI),by="ZA_UWAGI")
#8 wydanie
marc_field_250 <- data %>%
select(ZA_UWAGI,X250)%>%
filter(X250!="") %>%
mutate(X250=str_replace_all(X250,"(^|\\|)","~\\1")) %>%
cSplit(.,"X250",sep = "~",direction = "long") %>%
filter(X250!="") %>%
mutate(X250=str_remove_all(X250,"^\\|")) %>%
mutate(indicator = str_replace_all(X250,"(^.*?)(\\$.*)","\\1"))
subfield_list<- str_extract_all(data$X250,"\\$.")
subfield_list<- unique(unlist(subfield_list))
empty_table<- data.frame(matrix(ncol = length(subfield_list),nrow = lengths(marc_field_250)[1]))
colnames(empty_table) <-subfield_list
marc_field_250<-cbind(marc_field_250,empty_table)
subfield_list_char <- paste("(",subfield_list,")",sep = "")
subfield_list_char <- str_replace_all(subfield_list_char,"\\$","\\\\$")
x <- 1:length(subfield_list)
for (i in x) {
progress(match(i,x), max.value = length(x))
marc_field_250$X250 <- str_replace(marc_field_250$X250,subfield_list_char[i],"|\\1")
}Progress: 1 on 1 for (i in x) {
progress(match(i,x), max.value = length(x))
subfield_list_char2 <- str_replace_all(subfield_list,"\\$","\\\\$")
string_a <- "(^)(.*?\\|"
string_b <- subfield_list_char2[i]
string_c <- ")(.*?)(\\,{0,1})((\\|\\$)(.*)|$)"
string <- paste(string_a,string_b,string_c,sep = "")
marc_field_250[,i+3] <- ifelse(grepl(subfield_list_char2[i],marc_field_250$X250),str_replace_all(gsub(string,"\\3",marc_field_250$X250),"\\${2}.", "~"),NA)
}Progress: 1 on 1 za_wydanie <- marc_field_250 %>%
select(ZA_UWAGI, wydanie = `$a`) %>%
mutate(wydanie = str_remove(wydanie," \\/$")) %>%
right_join(.,data %>% select(ZA_UWAGI),by="ZA_UWAGI")
#9: instytucja sprawcza
marc_field_245 <- data %>%
select(ZA_UWAGI,X245)%>%
filter(X245!="") %>%
mutate(X245=str_remove_all(X245,"~"),
X245=str_replace_all(X245,"(^|\\|)","~\\1")) %>%
cSplit(.,"X245",sep = "~",direction = "long") %>%
filter(X245!="") %>%
mutate(X245=str_remove_all(X245,"^\\|")) %>%
mutate(indicator = str_replace_all(X245,"(^.*?)(\\$.*)","\\1"))
subfield_list<- str_extract_all(data$X245,"\\$.")
subfield_list<- unique(unlist(subfield_list))
empty_table<- data.frame(matrix(ncol = length(subfield_list),nrow = lengths(marc_field_245)[1]))
colnames(empty_table) <-subfield_list
marc_field_245<-cbind(marc_field_245,empty_table)
subfield_list_char <- paste("(",subfield_list,")",sep = "")
subfield_list_char <- str_replace_all(subfield_list_char,"\\$","\\\\$")
x <- 1:length(subfield_list)
for (i in x) {
progress(match(i,x), max.value = length(x))
marc_field_245$X245 <- str_replace(marc_field_245$X245,subfield_list_char[i],"|\\1")
}Progress: 1 on 3 Progress: 2 on 3 Progress: 3 on 3 for (i in x) {
progress(match(i,x), max.value = length(x))
subfield_list_char2 <- str_replace_all(subfield_list,"\\$","\\\\$")
string_a <- "(^)(.*?\\|"
string_b <- subfield_list_char2[i]
string_c <- ")(.*?)(\\,{0,1})((\\|\\$)(.*)|$)"
string <- paste(string_a,string_b,string_c,sep = "")
marc_field_245[,i+3] <- ifelse(grepl(subfield_list_char2[i],marc_field_245$X245),str_replace_all(gsub(string,"\\3",marc_field_245$X245),"\\${2}.", "~"),NA)
}Progress: 1 on 3 Progress: 2 on 3 Progress: 3 on 3 za_instytucja <- marc_field_245 %>%
select(ZA_UWAGI,X245c=`$c`) %>%
filter(!is.na(X245c)) %>%
mutate(instytucja = ifelse(grepl("\\;",X245c),str_replace_all(X245c, "(.*?)(\\;(?!.*\\;))( )+(.*?$)","\\4"),"")) %>%
left_join(.,BN_wspoltworca,by="ZA_UWAGI")
x <- 1:lengths(za_instytucja[1])
for (i in x) {
progress(match(i,x), max.value = length(x))
za_instytucja$czy_nazwisko[i] <- grepl(za_instytucja$OS_NAZWISKO[i],za_instytucja$X245c[i])
za_instytucja$czy_imie[i] <- grepl(za_instytucja$OS_IMIE[i],za_instytucja$X245c[i])
}Progress: 1 on 91 Progress: 2 on 91 Progress: 3 on 91 Progress: 4 on 91 Progress: 5 on 91 Progress: 6 on 91 Progress: 7 on 91 Progress: 8 on 91 Progress: 9 on 91 Progress: 10 on 91 Progress: 11 on 91 Progress: 12 on 91 Progress: 13 on 91 Progress: 14 on 91 Progress: 15 on 91 Progress: 16 on 91 Progress: 17 on 91 Progress: 18 on 91 Progress: 19 on 91 Progress: 20 on 91 Progress: 21 on 91 Progress: 22 on 91 Progress: 23 on 91 Progress: 24 on 91 Progress: 25 on 91 Progress: 26 on 91 Progress: 27 on 91 Progress: 28 on 91 Progress: 29 on 91 Progress: 30 on 91 Progress: 31 on 91 Progress: 32 on 91 Progress: 33 on 91 Progress: 34 on 91 Progress: 35 on 91 Progress: 36 on 91 Progress: 37 on 91 Progress: 38 on 91 Progress: 39 on 91 Progress: 40 on 91 Progress: 41 on 91 Progress: 42 on 91 Progress: 43 on 91 Progress: 44 on 91 Progress: 45 on 91 Progress: 46 on 91 Progress: 47 on 91 Progress: 48 on 91 Progress: 49 on 91 Progress: 50 on 91 Progress: 51 on 91 Progress: 52 on 91 Progress: 53 on 91 Progress: 54 on 91 Progress: 55 on 91 Progress: 56 on 91 Progress: 57 on 91 Progress: 58 on 91 Progress: 59 on 91 Progress: 60 on 91 Progress: 61 on 91 Progress: 62 on 91 Progress: 63 on 91 Progress: 64 on 91 Progress: 65 on 91 Progress: 66 on 91 Progress: 67 on 91 Progress: 68 on 91 Progress: 69 on 91 Progress: 70 on 91 Progress: 71 on 91 Progress: 72 on 91 Progress: 73 on 91 Progress: 74 on 91 Progress: 75 on 91 Progress: 76 on 91 Progress: 77 on 91 Progress: 78 on 91 Progress: 79 on 91 Progress: 80 on 91 Progress: 81 on 91 Progress: 82 on 91 Progress: 83 on 91 Progress: 84 on 91 Progress: 85 on 91 Progress: 86 on 91 Progress: 87 on 91 Progress: 88 on 91 Progress: 89 on 91 Progress: 90 on 91 Progress: 91 on 91 za_instytucja <- za_instytucja %>%
filter(is.na(czy_nazwisko)&is.na(czy_imie)) %>%
filter(instytucja!="") %>%
filter(!grepl("^\\[[a-zaáàâãäăāåąæeéèêëěēėęiíìîïīįioóòôõöőøœuúùûüűūůyýcćčçdďđđgģğkķlłļnńñňņŋrřsśšşsßtťŧþţzżźž]|^[a-zaáàâãäăāåąæeéèêëěēėęiíìîïīįioóòôõöőøœuúùûüűūůyýcćčçdďđđgģğkķlłļnńñňņŋrřsśšşsßtťŧþţzżźž]",instytucja)) %>%
mutate(instytucja = str_remove(instytucja,"\\.$")) %>%
select(ZA_UWAGI,instytucja) %>%
right_join(.,data %>% select(ZA_UWAGI),by="ZA_UWAGI")
#10: wydawnictwo
BN_wydawnictwo <- data %>%
select(ZA_UWAGI, X260) %>%
mutate(X260 = str_replace_all(X260,"s\\.n\\.", "b.w."),
X260 = str_replace_all(X260,"s\\.l\\.", "b.m."),
X260 = str_replace_all(X260,"S\\.l\\.", "b.m."),
X260 = str_remove(X260,"^\\\\+"),
rok_wydania = str_extract_all(X260, "(?<=\\$c).*(?=\\$e)|(?<=\\$c).*"),
bez_roku = str_replace_all(X260, ".\\$c.*", ""),
ile_wydawnictw = str_count(bez_roku, "\\$b"),
ile_miejsc = str_count(bez_roku, "\\$a"),
kolejnosc = str_replace_all(as.character(str_extract_all(bez_roku, "\\$.")), "[^a-z]", ""),
bez_roku = str_replace_all(bez_roku, ";\\$b", ":$b"),
wydaw_podziel = ifelse(ile_wydawnictw>ile_miejsc|kolejnosc=="caabb", str_replace_all(bez_roku, "(\\$a)(.*?)( :\\$b.*?)( :\\$b)", "\\1\\2\\3 ;$a\\2\\4"),bez_roku),
wydawnictwo_test = str_replace_all(wydaw_podziel, "(\\$b)(.*?)( ;\\$a)", "\\1\\2|\\3")) %>%
select(ZA_UWAGI,rok_wydania,wydawnictwo_test) %>%
cSplit(., "wydawnictwo_test", sep = "|", direction = "long") %>%
mutate(wydawnictwo = str_extract_all(wydawnictwo_test, "(?<=\\$b)(.*)"),
miejsce_wydania = str_replace_all(str_extract_all(wydawnictwo_test, "(?<=\\$a)(.*)(?= {0,1}: {0,1}\\$b)|(?<=\\$a)(.*)($)")," ;\\$a", ", "),
nazwa_prosta = str_to_lower(str_replace_all(str_replace_all(unlist(wydawnictwo_test), "\\$\\w", ""), "\\W", ""))) %>%
left_join(.,PBL_wydawnictwa,by="nazwa_prosta") %>%
mutate(to_samo = wydawnictwo==WY_NAZWA) %>%
arrange(ZA_UWAGI,-to_samo,-WY_LICZBA_ZAPISOW)
BN_wydawnictwo$id_grupy <- cumsum(!duplicated(BN_wydawnictwo[1:3]))
BN_wydawnictwo <- BN_wydawnictwo[!duplicated(BN_wydawnictwo$id_grupy),] %>%
mutate(WY_NAZWA = ifelse(!is.na(WY_NAZWA),as.character(WY_NAZWA),as.character(wydawnictwo)),
WY_MIASTO = ifelse(!is.na(WY_MIASTO),as.character(WY_MIASTO),as.character(miejsce_wydania)),
rok_wydania = str_replace_all(rok_wydania, "(.*)(\\.)", "\\1"),
za_rok_wydania = ifelse(nchar(rok_wydania)==4,as.character(rok_wydania),NA),
do_opisu = ifelse(is.na(za_rok_wydania),paste("[",str_extract(rok_wydania,"\\d{4}"),"]",sep = ""),""),
WY_MIASTO = ifelse(substr(WY_MIASTO,1,1)=="["&substr(WY_MIASTO,nchar(WY_MIASTO),nchar(WY_MIASTO))!="]"&is.na(WY_WYDAWNICTWO_ID),paste(trim(WY_MIASTO),"]",sep = ""),as.character(WY_MIASTO))) %>%
select(ZA_UWAGI,WY_WYDAWNICTWO_ID,WY_NAZWA,WY_MIASTO,za_rok_wydania,do_opisu)
#11: opis fizyczny książki
#pole 300 do opisu fizycznego
marc_field_300 <- data %>%
select(ZA_UWAGI,X300)%>%
filter(X300!="") %>%
mutate(X300=str_replace_all(X300,"(^|\\|)","~\\1")) %>%
cSplit(.,"X300",sep = "~",direction = "long") %>%
filter(X300!="") %>%
mutate(X300=str_remove_all(X300,"^\\|")) %>%
mutate(indicator = str_replace_all(X300,"(^.*?)(\\$.*)","\\1"))
subfield_list<- str_extract_all(data$X300,"\\$.")
subfield_list<- unique(unlist(subfield_list))
empty_table<- data.frame(matrix(ncol = length(subfield_list),nrow = lengths(marc_field_300)[1]))
colnames(empty_table) <-subfield_list
marc_field_300<-cbind(marc_field_300,empty_table)
subfield_list_char <- paste("(",subfield_list,")",sep = "")
subfield_list_char <- str_replace_all(subfield_list_char,"\\$","\\\\$")
x <- 1:length(subfield_list)
for (i in x) {
progress(match(i,x), max.value = length(x))
marc_field_300$X300 <- str_replace(marc_field_300$X300,subfield_list_char[i],"|\\1")
}Progress: 1 on 3 Progress: 2 on 3 Progress: 3 on 3 for (i in x) {
progress(match(i,x), max.value = length(x))
subfield_list_char2 <- str_replace_all(subfield_list,"\\$","\\\\$")
string_a <- "(^)(.*?\\|"
string_b <- subfield_list_char2[i]
string_c <- ")(.*?)(\\,{0,1})((\\|\\$)(.*)|$)"
string <- paste(string_a,string_b,string_c,sep = "")
marc_field_300[,i+3] <- ifelse(grepl(subfield_list_char2[i],marc_field_300$X300),str_replace_all(gsub(string,"\\3",marc_field_300$X300),"\\${2}.", "~"),NA)
}Progress: 1 on 3 Progress: 2 on 3 Progress: 3 on 3 if("$e" %in% colnames(marc_field_300)) {
marc_field_300 <- marc_field_300 %>%
mutate(`$a` = str_remove(`$a`," \\;+$| \\:+$"),
`$b` = str_remove(`$b`," \\;+$| \\:+$"),
`$e` = ifelse(grepl("CD-ROM|DVD|VCD|CD",`$e`)&grepl("\\+ dysk|płyt",`$e`),str_extract(`$e`,"(?<=\\+)(dysk|płyt.*?)(CD-ROM|DVD|VCD|CD)(\\)){0,1}"),
ifelse(grepl("CD-ROM|DVD|VCD|CD",`$e`),str_extract(`$e`,"(^.*?)(CD-ROM|DVD|VCD|CD)(\\)){0,1}"),NA)),
`$a` = ifelse(is.na(`$a`),"",as.character(`$a`)),
`$b` = ifelse(is.na(`$b`),"",as.character(`$b`)),
`$e` = ifelse(is.na(`$e`),"",as.character(`$e`)))
} else {
marc_field_300 <- marc_field_300 %>%
mutate(`$a` = str_remove(`$a`," \\;+$| \\:+$"),
`$b` = str_remove(`$b`," \\;+$| \\:+$"),
`$a` = ifelse(is.na(`$a`),"",as.character(`$a`)),
`$b` = ifelse(is.na(`$b`),"",as.character(`$b`)))
}
#pole 500 do opisu fizycznego
marc_field_500 <- data %>%
select(ZA_UWAGI,X500)%>%
filter(X500!="") %>%
mutate(X500=str_replace_all(X500,"(^|\\|)","~\\1")) %>%
cSplit(.,"X500",sep = "~",direction = "long") %>%
filter(X500!="") %>%
mutate(X500=str_remove_all(X500,"^\\|")) %>%
mutate(indicator = str_replace_all(X500,"(^.*?)(\\$.*)","\\1"))
subfield_list<- str_extract_all(data$X500,"\\$.")
subfield_list<- unique(unlist(subfield_list))
empty_table<- data.frame(matrix(ncol = length(subfield_list),nrow = lengths(marc_field_500)[1]))
colnames(empty_table) <-subfield_list
marc_field_500<-cbind(marc_field_500,empty_table)
subfield_list_char <- paste("(",subfield_list,")",sep = "")
subfield_list_char <- str_replace_all(subfield_list_char,"\\$","\\\\$")
x <- 1:length(subfield_list)
for (i in x) {
progress(match(i,x), max.value = length(x))
marc_field_500$X500 <- str_replace(marc_field_500$X500,subfield_list_char[i],"|\\1")
}Progress: 1 on 1 for (i in x) {
progress(match(i,x), max.value = length(x))
subfield_list_char2 <- str_replace_all(subfield_list,"\\$","\\\\$")
string_a <- "(^)(.*?\\|"
string_b <- subfield_list_char2[i]
string_c <- ")(.*?)(\\,{0,1})((\\|\\$)(.*)|$)"
string <- paste(string_a,string_b,string_c,sep = "")
marc_field_500[,i+3] <- ifelse(grepl(subfield_list_char2[i],marc_field_500$X500),str_replace_all(gsub(string,"\\3",marc_field_500$X500),"\\${2}.", "~"),NA)
}Progress: 1 on 1 marc_field_500 <- marc_field_500 %>%
filter(!grepl("oryg(\\.|\\,)",X500)&grepl("pseud|nazwa|dotycz|pol",X500,ignore.case = TRUE)) %>%
mutate(`$a` = str_remove(`$a`," \\;+$| \\:+$"))
#pole 546 do opisu fizycznego
marc_field_546 <- data %>%
select(ZA_UWAGI,X546)%>%
filter(X546!="") %>%
mutate(X546=str_replace_all(X546,"(^|\\|)","~\\1")) %>%
cSplit(.,"X546",sep = "~",direction = "long") %>%
filter(X546!="") %>%
mutate(X546=str_remove_all(X546,"^\\|")) %>%
mutate(indicator = str_replace_all(X546,"(^.*?)(\\$.*)","\\1"))
subfield_list<- str_extract_all(data$X546,"\\$.")
subfield_list<- unique(unlist(subfield_list))
empty_table<- data.frame(matrix(ncol = length(subfield_list),nrow = lengths(marc_field_546)[1]))
colnames(empty_table) <-subfield_list
marc_field_546<-cbind(marc_field_546,empty_table)
subfield_list_char <- paste("(",subfield_list,")",sep = "")
subfield_list_char <- str_replace_all(subfield_list_char,"\\$","\\\\$")
x <- 1:length(subfield_list)
for (i in x) {
progress(match(i,x), max.value = length(x))
marc_field_546$X546 <- str_replace(marc_field_546$X546,subfield_list_char[i],"|\\1")
}Progress: 1 on 1 for (i in x) {
progress(match(i,x), max.value = length(x))
subfield_list_char2 <- str_replace_all(subfield_list,"\\$","\\\\$")
string_a <- "(^)(.*?\\|"
string_b <- subfield_list_char2[i]
string_c <- ")(.*?)(\\,{0,1})((\\|\\$)(.*)|$)"
string <- paste(string_a,string_b,string_c,sep = "")
marc_field_546[,i+3] <- ifelse(grepl(subfield_list_char2[i],marc_field_546$X546),str_replace_all(gsub(string,"\\3",marc_field_546$X546),"\\${2}.", "~"),NA)
}Progress: 1 on 1 marc_field_546 <- marc_field_546 %>%
mutate(`$a` = str_remove(`$a`," \\;+$| \\:+$"))
if("$e" %in% colnames(marc_field_300)) {
za_opis_ks <- data %>%
select(ZA_UWAGI) %>%
left_join(.,BN_wydawnictwo %>% select(ZA_UWAGI,do_opisu),by="ZA_UWAGI") %>%
left_join(.,marc_field_300 %>% select(ZA_UWAGI,X300a=`$a`,X300b=`$b`,X300e=`$e`),by="ZA_UWAGI") %>%
left_join(.,marc_field_500 %>% select(ZA_UWAGI,X500a=`$a`),by="ZA_UWAGI") %>%
left_join(.,marc_field_546 %>% select(ZA_UWAGI,X546a=`$a`),by="ZA_UWAGI")
za_opis_ks[is.na(za_opis_ks)] <- ""
za_opis_ks <- za_opis_ks %>%
mutate(za_opis_ks = paste(ifelse(do_opisu!="",paste(as.character(do_opisu),", ",sep = ""),""),ifelse(X300a!="",paste(as.character(X300a),", ",sep = ""),""),ifelse(X300b!="",paste(as.character(X300b),", ",sep = ""),""),ifelse(X300e!="",paste(as.character(X300e),", ",sep = ""),""),ifelse(X500a!="",paste(as.character(X500a),", ",sep = ""),""),ifelse(X546a!="",as.character(X546a),""),sep = ""),
za_opis_ks = str_remove(za_opis_ks,"(, )+$")) %>%
select(ZA_UWAGI,za_opis_ks) %>%
unique() %>%
arrange(ZA_UWAGI,-nchar(za_opis_ks))
} else {
za_opis_ks <- data %>%
select(ZA_UWAGI) %>%
left_join(.,BN_wydawnictwo %>% select(ZA_UWAGI,do_opisu),by="ZA_UWAGI") %>%
left_join(.,marc_field_300 %>% select(ZA_UWAGI,X300a=`$a`,X300b=`$b`),by="ZA_UWAGI") %>%
left_join(.,marc_field_500 %>% select(ZA_UWAGI,X500a=`$a`),by="ZA_UWAGI") %>%
left_join(.,marc_field_546 %>% select(ZA_UWAGI,X546a=`$a`),by="ZA_UWAGI")
za_opis_ks[is.na(za_opis_ks)] <- ""
za_opis_ks <- za_opis_ks %>%
mutate(za_opis_ks = paste(ifelse(do_opisu!="",paste(as.character(do_opisu),", ",sep = ""),""),ifelse(X300a!="",paste(as.character(X300a),", ",sep = ""),""),ifelse(X300b!="",paste(as.character(X300b),", ",sep = ""),""),ifelse(X500a!="",paste(as.character(X500a),", ",sep = ""),""),ifelse(X546a!="",as.character(X546a),""),sep = ""),
za_opis_ks = str_remove(za_opis_ks,"(, )+$")) %>%
select(ZA_UWAGI,za_opis_ks) %>%
unique() %>%
arrange(ZA_UWAGI,-nchar(za_opis_ks))
}
za_opis_ks$id_grupy <- cumsum(!duplicated(za_opis_ks[1]))
za_opis_ks <- za_opis_ks[!duplicated(za_opis_ks$id_grupy),] %>%
select(-id_grupy)
wsp_info <- za_opis_ks %>%
left_join(tytul_wspolwydanie,by="ZA_UWAGI") %>%
left_join(BN_autor,by="ZA_UWAGI") %>%
mutate(wsp = paste("[Współwyd.: ",ifelse(AM_IMIE=="*","",AM_IMIE)," ",AM_NAZWISKO,": ",ZA_TYTUL,"]", sep = ""),
za_uwagi2 = str_remove_all(ZA_UWAGI,".$"))
wsp_info %$%
{ za_uwagi2 == dplyr::lag(za_uwagi2, 1)} %>%
as.numeric() %>%
{.} -> wsp_info$same
wsp_info$same[1] <- 0
wsp_info <- wsp_info %>%
arrange(za_uwagi2,-same)
za_opis_ks <- za_opis_ks %>%
bind_cols(wsp_info %>% select(wsp))
#12: seria wydawnicza
marc_field_490 <- data %>%
select(ZA_UWAGI,X490,X800,X830) %>%
mutate(X490 = ifelse(grepl("U\\+",X490),as.character(X830),as.character(X490))) %>%
mutate(X800 = ifelse(X490!="","",as.character(X800)),
X830 = ifelse(X490!="","",as.character(X830)),
X800 = str_replace(X800,"(\\$a)(.*)(\\$t)","\\1"),
X490 = ifelse(X490==""&X830!="",as.character(X830),
ifelse(X490==""&X800!="",as.character(X800),as.character(X490)))) %>%
select(ZA_UWAGI,X490) %>%
filter(X490!="") %>%
mutate(X490=str_replace_all(X490,"(^|\\|)","~\\1")) %>%
cSplit(.,"X490",sep = "~",direction = "long") %>%
filter(X490!="") %>%
mutate(X490=str_remove_all(X490,"^\\|")) %>%
mutate(indicator = str_replace_all(X490,"(^.*?)(\\$.*)","\\1"))
subfield_list<- str_extract_all(data$X490,"\\$.")
subfield_list<- unique(unlist(subfield_list))
empty_table<- data.frame(matrix(ncol = length(subfield_list),nrow = lengths(marc_field_490)[1]))
colnames(empty_table) <-subfield_list
marc_field_490<-cbind(marc_field_490,empty_table)
subfield_list_char <- paste("(",subfield_list,")",sep = "")
subfield_list_char <- str_replace_all(subfield_list_char,"\\$","\\\\$")
x <- 1:length(subfield_list)
for (i in x) {
progress(match(i,x), max.value = length(x))
marc_field_490$X490 <- str_replace(marc_field_490$X490,subfield_list_char[i],"|\\1")
}Progress: 1 on 3 Progress: 2 on 3 Progress: 3 on 3 for (i in x) {
progress(match(i,x), max.value = length(x))
subfield_list_char2 <- str_replace_all(subfield_list,"\\$","\\\\$")
string_a <- "(^)(.*?\\|"
string_b <- subfield_list_char2[i]
string_c <- ")(.*?)(\\,{0,1})((\\|\\$)(.*)|$)"
string <- paste(string_a,string_b,string_c,sep = "")
marc_field_490[,i+3] <- ifelse(grepl(subfield_list_char2[i],marc_field_490$X490),str_replace_all(gsub(string,"\\3",marc_field_490$X490),"\\${2}.", "~"),NA)
}Progress: 1 on 3 Progress: 2 on 3 Progress: 3 on 3 za_seria_wydawnicza <- marc_field_490 %>%
mutate(`$a` = str_replace_all(`$a`,"(=)(\\$a)","\\1 "),
`$a` = str_remove(`$a`," \\;+$| \\:+$"),
`$v` = ifelse(is.na(`$v`),"",as.character(`$v`))) %>%
filter(!is.na(`$a`)) %>%
mutate(seria = str_remove(paste("(",`$a`,"; ",`$v`,")",sep = ""),"; (?=\\)$)"),
seria = gsub("( : )(.)",". \\U\\2",perl=TRUE,seria)) %>%
select(ZA_UWAGI,seria) %>%
group_by(ZA_UWAGI) %>%
mutate(seria = paste(seria,collapse = " ")) %>%
ungroup() %>%
unique() %>%
mutate(seria = str_replace_all(seria,"\\$.","; ")) %>%
right_join(.,data %>% select(ZA_UWAGI),by="ZA_UWAGI")
#13: tomy
za_tomy <- data %>%
select(ZA_UWAGI) %>%
mutate(za_tomy = NA)
#14: adnotacje
za_adnotacje <- data %>%
select(ZA_UWAGI) %>%
left_join(.,BN_autor %>% select(ZA_UWAGI,ZA_ADNOTACJE),by="ZA_UWAGI") %>%
mutate(ZA_ADNOTACJE = ifelse(is.na(ZA_ADNOTACJE),"",paste(as.character(ZA_ADNOTACJE),"# ",sep = "")),
ZA_ADNOTACJE = str_remove(ZA_ADNOTACJE,"(# )+$")) %>%
select(ZA_UWAGI,ZA_ADNOTACJE) %>%
unique() %>%
arrange(ZA_UWAGI,-nchar(ZA_ADNOTACJE))
za_adnotacje$id_grupy <- cumsum(!duplicated(za_adnotacje[1]))
za_adnotacje <- za_adnotacje[!duplicated(za_adnotacje$id_grupy),] %>%
select(-id_grupy)
#15: BN_URL
BN_URL <- data %>%
select(ZA_UWAGI,BN_URL)
#wyrównanie liczby wierszy do liczby wierszy obiektu data
BN_autor <- data %>%
select(ZA_UWAGI) %>%
left_join(.,BN_autor %>% select(ZA_UWAGI,AM_AUTOR_ID,AM_NAZWISKO,AM_IMIE),by="ZA_UWAGI") %>%
ddply(., .(ZA_UWAGI), summarize, AM_AUTOR_ID = paste(AM_AUTOR_ID, collapse="|"), AM_NAZWISKO = paste(AM_NAZWISKO, collapse="|"), AM_IMIE = paste(AM_IMIE, collapse="|"))
BN_wspoltworca <- data %>%
select(ZA_UWAGI) %>%
left_join(.,BN_wspoltworca %>% select(ZA_UWAGI,OS_OSOBA_ID,OS_NAZWISKO,OS_IMIE,fo_symbol),by="ZA_UWAGI") %>%
ddply(., .(ZA_UWAGI), summarize, OS_OSOBA_ID = paste(OS_OSOBA_ID, collapse="|"), OS_NAZWISKO = paste(OS_NAZWISKO, collapse="|"), OS_IMIE = paste(OS_IMIE, collapse="|"), fo_symbol = paste(fo_symbol, collapse="|")) %>%
mutate(fo_symbol = ifelse(fo_symbol=="NULL","NA",as.character(fo_symbol)))
BN_wydawnictwo <- data %>%
select(ZA_UWAGI) %>%
left_join(.,BN_wydawnictwo %>% select(ZA_UWAGI,WY_WYDAWNICTWO_ID,WY_NAZWA,WY_MIASTO,za_rok_wydania),by="ZA_UWAGI") %>%
ddply(., .(ZA_UWAGI), summarize, WY_WYDAWNICTWO_ID = paste(WY_WYDAWNICTWO_ID, collapse="|"), WY_NAZWA = paste(WY_NAZWA, collapse="|"), WY_MIASTO = paste(WY_MIASTO, collapse="|"), za_rok_wydania = paste(unique(za_rok_wydania), collapse="|")) %>%
mutate(za_rok_wydania = ifelse(za_rok_wydania=="NA","",as.integer(za_rok_wydania)))pojawi戼㸳y si攼㹡 warto㤼㹣ci NA na skutek przekszta戼㸳cenia#połączenie wszystkich elementów w jedną tabelę
kolejnosc <- c("ZA_UWAGI","RZ_NAZWA","ZA_RO_ROK","ZA_TYPE","RZ_RODZAJ_ID","DZ_NAZWA","DZ_DZIAL_ID","TW_TWORCA_ID","AM_AUTOR_ID","AM_NAZWISKO","AM_IMIE","ZA_TYTUL","ZA_TYTUL_ORYGINALU","ZA_JEZYK_ORYGINALU","OS_OSOBA_ID","OS_NAZWISKO","OS_IMIE","fo_symbol","za_opis_wspoltworcow","wydanie","za_tomy","instytucja","WY_WYDAWNICTWO_ID","WY_MIASTO","WY_NAZWA","za_rok_wydania","za_opis_ks","seria","TW_NAZWISKO","TW_IMIE","redaktor_dzialu","ZA_ADNOTACJE","BN_URL")
polaczone <- data %>%
select(ZA_UWAGI) %>%
left_join(.,pola_pbl,by = "ZA_UWAGI") %>%
left_join(.,BN_autor,by = "ZA_UWAGI") %>%
left_join(.,za_tytul,by = "ZA_UWAGI") %>%
left_join(.,za_tytul_oryginalu,by = "ZA_UWAGI") %>%
left_join(.,za_jezyk_oryginalu,by = "ZA_UWAGI") %>%
left_join(.,BN_wspoltworca,by = "ZA_UWAGI") %>%
left_join(.,za_opis_wspoltworcow,by = "ZA_UWAGI") %>%
left_join(.,za_wydanie,by = "ZA_UWAGI") %>%
left_join(.,za_instytucja,by = "ZA_UWAGI") %>%
left_join(.,BN_wydawnictwo,by = "ZA_UWAGI") %>%
left_join(.,za_opis_ks,by = "ZA_UWAGI") %>%
left_join(.,za_seria_wydawnicza,by = "ZA_UWAGI") %>%
left_join(.,za_tomy,by = "ZA_UWAGI") %>%
left_join(.,za_adnotacje,by = "ZA_UWAGI") %>%
left_join(.,BN_URL,by = "ZA_UWAGI") %>%
select(noquote(kolejnosc))
colnames(polaczone) <- c("rekord_BN","rz_nazwa","za_ro_rok","za_type","rz_rodzaj_id","DZ_NAZWA","DZ_DZIAL_ID","tw_tworca_id","am_autor_id","am_nazwisko","am_imie","za_tytul","za_tytul_oryginalu","za_jezyk_oryginalu","os_osoba_id","os_nazwisko","os_imie","fo_symbol","za_opis_wspoltworcow","za_wydanie","za_tomy","za_instytucja","wy_wydawnictwo_id","wy_miejsce","wy_nazwa","za_rok_wydania","za_opis_fizyczny_ksiazki","za_seria_wydawnicza","tw_nazwisko","tw_imie","pracownik","za_adnotacje","BN_URL")
#zasygnalizowanie niepoprawnego kodowania
x <- 1:(length(polaczone)-2)
for (i in x) {
progress(match(i,x), max.value = length(x))
polaczone$za_adnotacje <- ifelse(grepl("<U\\+(....)>",polaczone[,i]),
ifelse(nchar(polaczone$za_adnotacje)!=0,paste(polaczone$za_adnotacje,paste("UWAGA! Błąd kodowania w polu ",as.character(names(polaczone[i]))," Znajdź frazę \"???\" i zredaguj pole.",sep = ""),sep = "# "),paste("UWAGA! Błąd kodowania w polu ",as.character(names(polaczone[i]))," Znajdź frazę \"???\" i zredaguj pole.",sep = "")),as.character(polaczone$za_adnotacje))
polaczone[,i] <- gsub("<U\\+(....)>", "???", polaczone[,i])
}Progress: 1 on 31 Progress: 2 on 31 Progress: 3 on 31 Progress: 4 on 31 Progress: 5 on 31 Progress: 6 on 31 Progress: 7 on 31 Progress: 8 on 31 Progress: 9 on 31 Progress: 10 on 31 Progress: 11 on 31 Progress: 12 on 31 Progress: 13 on 31 Progress: 14 on 31 Progress: 15 on 31 Progress: 16 on 31 Progress: 17 on 31 Progress: 18 on 31 Progress: 19 on 31 Progress: 20 on 31 Progress: 21 on 31 Progress: 22 on 31 Progress: 23 on 31 Progress: 24 on 31 Progress: 25 on 31 Progress: 26 on 31 Progress: 27 on 31 Progress: 28 on 31 Progress: 29 on 31 Progress: 30 on 31 Progress: 31 on 31 #zasygnalizowanie obecności znaku $ w którymś z pól
X <- 1:(length(polaczone)-2)
for (i in x) {
progress(match(i,x), max.value = length(x))
polaczone$za_adnotacje <- ifelse(grepl("\\$",polaczone[,i]),
ifelse(nchar(polaczone$za_adnotacje)==0,paste("UWAGA! Ze względu na błędny zapis BN w polu ",as.character(names(polaczone[i]))," wydrukowano znak \"$\". Zredaguj treść pola.",sep = ""),paste(polaczone$za_adnotacje,paste("UWAGA! Ze względu na błędny zapis BN w polu ",as.character(names(polaczone[i]))," wydrukowano znak \"$\". Zredaguj treść pola.",sep = ""),sep = "# ")),as.character(polaczone$za_adnotacje))
}Progress: 1 on 31 Progress: 2 on 31 Progress: 3 on 31 Progress: 4 on 31 Progress: 5 on 31 Progress: 6 on 31 Progress: 7 on 31 Progress: 8 on 31 Progress: 9 on 31 Progress: 10 on 31 Progress: 11 on 31 Progress: 12 on 31 Progress: 13 on 31 Progress: 14 on 31 Progress: 15 on 31 Progress: 16 on 31 Progress: 17 on 31 Progress: 18 on 31 Progress: 19 on 31 Progress: 20 on 31 Progress: 21 on 31 Progress: 22 on 31 Progress: 23 on 31 Progress: 24 on 31 Progress: 25 on 31 Progress: 26 on 31 Progress: 27 on 31 Progress: 28 on 31 Progress: 29 on 31 Progress: 30 on 31 Progress: 31 on 31 #zasygnalizowanie obecności frazy "character(0)" w którymś z pól
X <- 1:(length(polaczone)-2)
for (i in x) {
progress(match(i,x), max.value = length(x))
polaczone$za_adnotacje <- ifelse(grepl("character\\(0\\)",polaczone[,i]),
ifelse(nchar(polaczone$za_adnotacje)==0,paste("UWAGA! Ze względu na błędny zapis BN w polu ",as.character(names(polaczone[i]))," wydrukowano frazę \"character(0)\". Zredaguj treść pola.",sep = ""),paste(polaczone$za_adnotacje,paste("UWAGA! Ze względu na błędny zapis BN w polu ",as.character(names(polaczone[i]))," wydrukowano frazę \"character(0)\". Zredaguj treść pola.",sep = ""),sep = "# ")),as.character(polaczone$za_adnotacje))
}Progress: 1 on 31 Progress: 2 on 31 Progress: 3 on 31 Progress: 4 on 31 Progress: 5 on 31 Progress: 6 on 31 Progress: 7 on 31 Progress: 8 on 31 Progress: 9 on 31 Progress: 10 on 31 Progress: 11 on 31 Progress: 12 on 31 Progress: 13 on 31 Progress: 14 on 31 Progress: 15 on 31 Progress: 16 on 31 Progress: 17 on 31 Progress: 18 on 31 Progress: 19 on 31 Progress: 20 on 31 Progress: 21 on 31 Progress: 22 on 31 Progress: 23 on 31 Progress: 24 on 31 Progress: 25 on 31 Progress: 26 on 31 Progress: 27 on 31 Progress: 28 on 31 Progress: 29 on 31 Progress: 30 on 31 Progress: 31 on 31 #zasygnalizowanie obecności znaku # w opisie współtwórców
polaczone$za_adnotacje <- ifelse(grepl("\\#",polaczone$za_opis_wspoltworcow),
ifelse(nchar(polaczone$za_adnotacje)==0,"UWAGA! Ze względu na konflikt w opisie współtwórców wybierz właściwą wartość (strefa odpowiedzialności \"#\" współtwórcy z pola 700).",paste(polaczone$za_adnotacje,"UWAGA! Ze względu na konflikt w opisie współtwórców wybierz właściwą wartość (strefa odpowiedzialności # współtwórcy z pola 700).",sep = "# ")),as.character(polaczone$za_adnotacje))
out <- cSplit(polaczone, c("am_autor_id", "am_nazwisko", "am_imie","os_osoba_id","os_nazwisko", "os_imie", "fo_symbol","wy_wydawnictwo_id","wy_miejsce","wy_nazwa"),sep = "|",direction = "long") %>%
unique()
out$rekord_BN <- ifelse(is.na(out$rekord_BN),'',as.character(out$rekord_BN))
out$rz_nazwa <- ifelse(is.na(out$rz_nazwa),'',as.character(out$rz_nazwa))
out$za_ro_rok <- ifelse(is.na(out$za_ro_rok),'',as.character(out$za_ro_rok))
out$za_type <- ifelse(is.na(out$za_type),'',as.character(out$za_type))
out$rz_rodzaj_id <- ifelse(is.na(out$rz_rodzaj_id),'',as.character(out$rz_rodzaj_id))
out$DZ_NAZWA <- ifelse(is.na(out$DZ_NAZWA),'',as.character(out$DZ_NAZWA))
out$DZ_DZIAL_ID <- ifelse(is.na(out$DZ_DZIAL_ID),'',as.character(out$DZ_DZIAL_ID))
out$tw_tworca_id <- ifelse(is.na(out$tw_tworca_id),'',as.character(out$tw_tworca_id))
out$am_autor_id <- ifelse(is.na(out$am_autor_id),'',as.character(out$am_autor_id))
out$am_nazwisko <- ifelse(is.na(out$am_nazwisko),'',as.character(out$am_nazwisko))
out$am_imie <- ifelse(is.na(out$am_imie),'',as.character(out$am_imie))
out$za_tytul <- ifelse(is.na(out$za_tytul),'',as.character(out$za_tytul))
out$za_tytul_oryginalu <- ifelse(is.na(out$za_tytul_oryginalu),'',as.character(out$za_tytul_oryginalu))
out$za_jezyk_oryginalu <- ifelse(is.na(out$za_jezyk_oryginalu),'',as.character(out$za_jezyk_oryginalu))
out$os_osoba_id <- ifelse(is.na(out$os_osoba_id),'',as.character(out$os_osoba_id))
out$os_nazwisko <- ifelse(is.na(out$os_nazwisko),'',as.character(out$os_nazwisko))
out$os_imie <- ifelse(is.na(out$os_imie),'',as.character(out$os_imie))
out$fo_symbol <- ifelse(is.na(out$fo_symbol),'',as.character(out$fo_symbol))
out$za_opis_wspoltworcow <- ifelse(is.na(out$za_opis_wspoltworcow),'',as.character(out$za_opis_wspoltworcow))
out$za_wydanie <- ifelse(is.na(out$za_wydanie),'',as.character(out$za_wydanie))
out$za_tomy <- ifelse(is.na(out$za_tomy),'',as.character(out$za_tomy))
out$za_instytucja <- ifelse(is.na(out$za_instytucja),'',as.character(out$za_instytucja))
out$wy_wydawnictwo_id <- ifelse(is.na(out$wy_wydawnictwo_id),'',as.character(out$wy_wydawnictwo_id))
out$wy_miejsce <- ifelse(is.na(out$wy_miejsce),'',as.character(out$wy_miejsce))
out$wy_nazwa <- ifelse(is.na(out$wy_nazwa),'',as.character(out$wy_nazwa))
out$za_rok_wydania <- ifelse(is.na(out$za_rok_wydania),'',as.character(out$za_rok_wydania))
out$za_opis_fizyczny_ksiazki <- ifelse(is.na(out$za_opis_fizyczny_ksiazki),'',as.character(out$za_opis_fizyczny_ksiazki))
out$za_seria_wydawnicza <- ifelse(is.na(out$za_seria_wydawnicza),'',as.character(out$za_seria_wydawnicza))
out$tw_nazwisko <- ifelse(is.na(out$tw_nazwisko),'',as.character(out$tw_nazwisko))
out$tw_imie <- ifelse(is.na(out$tw_imie),'',as.character(out$tw_imie))
out$pracownik <- ifelse(is.na(out$pracownik),'',as.character(out$pracownik))
out$za_adnotacje <- ifelse(is.na(out$za_adnotacje),'',as.character(out$za_adnotacje))
out$BN_URL <- ifelse(is.na(out$BN_URL),'',as.character(out$BN_URL))
out %$%
{ rekord_BN==lag(rekord_BN,) & rz_nazwa==lag(rz_nazwa,) & za_ro_rok==lag(za_ro_rok,) & za_type==lag(za_type,) & rz_rodzaj_id==lag(rz_rodzaj_id,) & DZ_NAZWA==lag(DZ_NAZWA,) & DZ_DZIAL_ID==lag(DZ_DZIAL_ID,) & tw_tworca_id==lag(tw_tworca_id,) & za_tytul==lag(za_tytul,) & za_tytul_oryginalu==lag(za_tytul_oryginalu,) & za_jezyk_oryginalu==lag(za_jezyk_oryginalu,) & za_opis_wspoltworcow==lag(za_opis_wspoltworcow,) & za_wydanie==lag(za_wydanie,) & za_tomy==lag(za_tomy,) & za_instytucja==lag(za_instytucja,) & za_rok_wydania==lag(za_rok_wydania,) & za_opis_fizyczny_ksiazki==lag(za_opis_fizyczny_ksiazki,) & za_seria_wydawnicza==lag(za_seria_wydawnicza,) & tw_nazwisko==lag(tw_nazwisko,) & tw_imie==lag(tw_imie,) & pracownik==lag(pracownik,) & za_adnotacje==lag(za_adnotacje,) & BN_URL==lag(BN_URL,)} %>%
as.numeric() %>%
{.} -> out$same
out$same[1] <- 0
out$dzielone <- paste(out$am_autor_id,out$am_nazwisko,out$am_imie,out$os_osoba_id,out$os_nazwisko,out$os_imie,out$fo_symbol,out$wy_wydawnictwo_id,out$wy_miejsce,out$wy_nazwa,sep = "")
out <- out %>%
filter(!(same==1&dzielone=="")) %>%
select(1:33)
out %$%
{ rekord_BN==lag(rekord_BN,) & rz_nazwa==lag(rz_nazwa,) & za_ro_rok==lag(za_ro_rok,) & za_type==lag(za_type,) & rz_rodzaj_id==lag(rz_rodzaj_id,) & DZ_NAZWA==lag(DZ_NAZWA,) & DZ_DZIAL_ID==lag(DZ_DZIAL_ID,) & tw_tworca_id==lag(tw_tworca_id,) & za_tytul==lag(za_tytul,) & za_tytul_oryginalu==lag(za_tytul_oryginalu,) & za_jezyk_oryginalu==lag(za_jezyk_oryginalu,) & za_opis_wspoltworcow==lag(za_opis_wspoltworcow,) & za_wydanie==lag(za_wydanie,) & za_tomy==lag(za_tomy,) & za_instytucja==lag(za_instytucja,) & za_rok_wydania==lag(za_rok_wydania,) & za_opis_fizyczny_ksiazki==lag(za_opis_fizyczny_ksiazki,) & za_seria_wydawnicza==lag(za_seria_wydawnicza,) & tw_nazwisko==lag(tw_nazwisko,) & tw_imie==lag(tw_imie,) & pracownik==lag(pracownik,) & za_adnotacje==lag(za_adnotacje,) & BN_URL==lag(BN_URL,)} %>%
as.numeric() %>%
{.} -> out$same
#ucięcie zbyt długich ciągów znaków, by weszły do oracle'a
dlugosci <- data.frame(pole = c("am_nazwisko", "am_imie", "za_tytul", "za_tytul_oryginalu", "za_jezyk_oryginalu", "os_nazwisko", "os_imie", "za_opis_wspoltworcow", "za_instytucja", "wy_miejsce", "wy_nazwa", "za_opis_fizyczny_ksiazki", "za_seria_wydawnicza", "tw_nazwisko", "tw_imie", "za_adnotacje"), liczba_znakow = c(50,40,500,500,100,50,40,500,255,40,255,1000,255,200,40,2000))
x <- match(dlugosci$pole,names(out))
for (i in x) {
progress(match(i,x), max.value = length(x))
dlugosc <- dlugosci$liczba_znakow[match(names(out[i]),dlugosci$pole)]
out$za_adnotacje <- ifelse(dlugosc<nchar(as.character(out[,i]))&out$za_adnotacje!="",paste(out$za_adnotacje,paste("UWAGA! Pole ",as.character(names(out[i]))," było zbyt długie i zostało przycięte. Zredaguj treść pola.",sep = ""),sep = "# "),
ifelse(dlugosc<nchar(as.character(out[,i]))&out$za_adnotacje=="",paste("UWAGA! Pole ",as.character(names(out[i]))," było zbyt długie i zostało przycięte. Zredaguj treść pola.",sep = ""),as.character(out$za_adnotacje)))
out[,i] <- ifelse(dlugosc<nchar(as.character(out[,i])),as.character(substr(out[,i],1,dlugosc)),as.character(out[,i]))
}Progress: 1 on 16 Progress: 2 on 16 Progress: 3 on 16 Progress: 4 on 16 Progress: 5 on 16 Progress: 6 on 16 Progress: 7 on 16 Progress: 8 on 16 Progress: 9 on 16 Progress: 10 on 16 Progress: 11 on 16 Progress: 12 on 16 Progress: 13 on 16 Progress: 14 on 16 Progress: 15 on 16 Progress: 16 on 16 out$rekord_BN[out$same == 1] <- ""
out$rz_nazwa[out$same == 1] <- ""
out$za_ro_rok[out$same == 1] <- ""
out$za_type[out$same == 1] <- ""
out$rz_rodzaj_id[out$same == 1] <- ""
out$DZ_NAZWA[out$same == 1] <- ""
out$DZ_DZIAL_ID[out$same == 1] <- ""
out$tw_tworca_id[out$same == 1] <- ""
out$za_tytul[out$same == 1] <- ""
out$za_tytul_oryginalu[out$same == 1] <- ""
out$za_jezyk_oryginalu[out$same == 1] <- ""
out$za_opis_wspoltworcow[out$same == 1] <- ""
out$za_wydanie[out$same == 1] <- ""
out$za_tomy[out$same == 1] <- ""
out$za_instytucja[out$same == 1] <- ""
out$za_rok_wydania[out$same == 1] <- ""
out$za_opis_fizyczny_ksiazki[out$same == 1] <- ""
out$za_seria_wydawnicza[out$same == 1] <- ""
out$tw_nazwisko[out$same == 1] <- ""
out$tw_imie[out$same == 1] <- ""
out$pracownik[out$same == 1] <- ""
out$za_adnotacje[out$same == 1] <- ""
out$BN_URL[out$same == 1] <- ""
out <- out %>%
select(1:33)
#pętla zapisująca po ok. 2000 wierszy z uwzględnieniem kompletności rekordów bibliograficznych rozpisanych na kilka wierszy
out <- out %>%
mutate(podzial = ifelse(rekord_BN!="",as.character(rekord_BN),NA)) %>%
fill(podzial)
ile <- unique(out$podzial)
ile <- split(unique(ile), ceiling(seq_along(unique(ile))/1500))
#aktualizacja - wpisz właściwy rok w ścieżkę pliku
x <- 1:length(ile)
for (i in x) {
progress(match(i,x), max.value = length(x))
final <- out %>%
filter(podzial %in% ile[[i]]) %>%
select(-podzial)
write.xlsx(final, paste("C:/Users/Cezary/Desktop/2009_wspolwydanie_do_importu",i,".xlsx",sep = ""),sheetName = "gotowe")
}Progress: 1 on 1 bezpiecznik UWAGA! Najlpierw należy przeprowadzić import do bazy, a następnie egzekwować poniższą część kodu
#automatyczny IOK dla rekordów bibliograficznych
#aktualizacja - wpisz właściwy rok w ścieżkę pliku
nadpisanie_zapisow_IOK <- data.frame(stringsAsFactors = FALSE)
rodzaje <- c("podmiotowe","przedmiotowe","antologie","współwydania")
x <- 1:length(rodzaje)
for (i in x) {
progress(match(i,x), max.value = length(x))
nadpisanie_zapisow_IOK <- nadpisanie_zapisow_IOK %>%
bind_rows(.,read.csv2(paste("C:/Users/Cezary/Desktop/imp_2009_automatyczne_",rodzaje[i],".csv",sep = ""), encoding = "UTF-8", header = TRUE, stringsAsFactors = FALSE))
}
#aktualizacja - wpisać w selecie dla za_uwagi właściwą frazę dla rocznika, np. '%2010~%'
nadpisanie_zapisow_IOK <- nadpisanie_zapisow_IOK %>%
mutate(rekord_BN = as.character(rekord_BN)) %>%
left_join(.,dbGetQuery(PBL,
"select z.za_zapis_id, z.za_status_imp, z.za_uwagi
from pbl_zapisy z
where za_uwagi like '%2020%'
and z.za_url_bn is not null") %>% mutate(ZA_UWAGI = str_extract(ZA_UWAGI,"(?<=BN: )(.*?)(?=, import)")),by=c("rekord_BN"="ZA_UWAGI")) %>%
rename(jest = ZA_STATUS_IMP) %>%
mutate(ID2 = NA) %>%
select(ZA_ZAPIS_ID,ID2,jest,powinno_byc)
#aktualizacja - wpisz właściwy rok w ścieżkę pliku
write.xlsx(nadpisanie_zapisow_IOK, "C:/Users/Cezary/Desktop/2009_nadpisanie_zapisow_IOK.xlsx",sheetName = "ZA_STATUS_IMP")
#automatyczny IOK dla nowych twórców w kartotece
#aktualizacja - wpisać w selecie dla tw_uwagi właściwą frazę dla rocznika, np. '%2010~%'
nadpisanie_tworcow_IOK <- dbGetQuery(PBL,
"select tw.tw_tworca_id
from IBL_OWNER.pbl_tworcy tw
--where tw.tw_numer_bn like '%2010~%'
where tw.tw_uwagi like '%2020%'") %>%
mutate(ID2 = NA,
jest = "IMP",
powinno_byc = "IOK")
#aktualizacja - wpisz właściwy rok w ścieżkę pliku
write.xlsx(nadpisanie_tworcow_IOK, "C:/Users/Cezary/Desktop/2009_nadpisanie_tworcow_IOK.xlsx",sheetName = "TW_STATUS")
#automatycznie nadpisać rekordy bibliograficzne i kartoteczne przed kolejnym krokiem#docelowo przygotowujemy plik od razu na dysk, ale na razie xlsx do wgrania na dysk (brak funkcjonalności googlesheets4)
#po tym przygotować na dysku unikatowe linki
kolejnosc <- c("pracownik","ZA_ZAPIS_ID","typ_ksiazki","link","link_1","rok","status","blad_w_imporcie_tytulu","X100","X245","X650","X655","X246","X250","X260","X300","X380","X490","X500","X501","X546","X600","X700","X041","X080")
#aktualizacja - wpisać w selecie dla za_uwagi właściwą frazę dla rocznika, np. '%2010~%'
rocznik_pbl_po_imporcie <- dbGetQuery(PBL,
"select z.za_zapis_id, z.za_status_imp, z.za_uwagi
from pbl_zapisy z
where za_uwagi like '%2020%'
and z.za_url_bn is not null") %>%
mutate(ZA_UWAGI = str_extract(ZA_UWAGI,"(?<=BN: )(.*?)(?=, import)")) %>%
rename(status = ZA_STATUS_IMP) %>%
left_join(.,bn_ok %>% select(pracownik = redaktor_dzialu,typ_ksiazki = rodzaj_ksiazki,link = BN_URL, rok, X100, X245, X650, X655, X246, X250, X260, X300, X380, X490, X500, X501, X546, X600, X700, X041, X080,ZA_UWAGI) %>% mutate(link_1 = paste("=HYPERLINK(\"",link,"\";\"link do książki w BN\")",sep = ""), blad_w_imporcie_tytulu = FALSE),by="ZA_UWAGI") %>%
select(noquote(kolejnosc))
#aktualizacja - wpisz właściwy rok w ścieżkę pliku
write.xlsx(rocznik_pbl_po_imporcie, "C:/Users/Cezary/Desktop/ks_BN_2009_listy_pracowników.xlsx",sheetName = "listy_pracownikow")
#prześlij listę na dysk, przygotuj widoki filtrów dla wszystkich osób i roześlij unikatowe linki#TUTAJ - zrobić dopiero po imporcie 2010!!!
#bazować na bn_ok z zapytaniem SQL dzięki zawartości pola bn rekord
#zaktualizować plik na dysku: "mapowanie_osob_bn_pbl_po_imporcie" o nowe relacje osobowe pbl-bn
nowe_relacje <- bn_ok %>%
filter(is.na(TW_TWORCA_ID)&!is.na(TW_NAZWISKO)) %>%
select(X100,TW_NAZWISKO,TW_IMIE) %>%
filter(!grepl("\\|",X100)) %>%
unique() %>%
mutate(licznik = 1:nrow(.))
marc_field_100 <- nowe_relacje %>%
select(licznik,X100)%>%
filter(X100!="") %>%
mutate(X100=str_remove_all(X100,"^\\|")) %>%
mutate(indicator = str_replace_all(X100,"(^.*?)(\\$.*)","\\1"))
subfield_list<- str_extract_all(nowe_relacje$X100,"\\$.")
subfield_list<- unique(unlist(subfield_list))
empty_table<- data.frame(matrix(ncol = length(subfield_list),nrow = lengths(marc_field_100)[1]))
colnames(empty_table) <-subfield_list
marc_field_100<-cbind(marc_field_100,empty_table)
subfield_list_char <- paste("(",subfield_list,")",sep = "")
subfield_list_char <- str_replace_all(subfield_list_char,"\\$","\\\\$")
x <- 1:length(subfield_list)
for (i in x) {
progress(match(i,x), max.value = length(x))
marc_field_100$X100 <- str_replace(marc_field_100$X100,subfield_list_char[i],"|\\1")
}
for (i in x) {
progress(match(i,x), max.value = length(x))
subfield_list_char2 <- str_replace_all(subfield_list,"\\$","\\\\$")
string_a <- "(^)(.*?\\|"
string_b <- subfield_list_char2[i]
string_c <- ")(.*?)(\\,{0,1})((\\|\\$)(.*)|$)"
string <- paste(string_a,string_b,string_c,sep = "")
marc_field_100[,i+3] <- ifelse(grepl(subfield_list_char2[i],marc_field_100$X100),str_replace_all(gsub(string,"\\3",marc_field_100$X100),"\\${2}.", "~"),NA)
}
nowe_relacje <- nowe_relacje %>%
left_join(.,marc_field_100 %>% unite("BN_osoba",`$a`:`$c`,sep = " ",na.rm = TRUE) %>% select(licznik,BN_osoba),by="licznik") %>%
left_join(.,dbGetQuery(PBL,
"select tw.tw_tworca_id,tw.tw_nazwisko,tw.tw_imie
from pbl_tworcy tw"),by=c("TW_NAZWISKO","TW_IMIE")) %>%
select(TW_TWORCA_ID,TW_NAZWISKO,TW_IMIE,BN_osoba)
###
###tylko dla 2009
test <- read.csv2("C:/Users/Cezary/Desktop/osoby.csv", encoding = "Windows-1250", header = TRUE, stringsAsFactors = FALSE) #%>%
#rename(TW_TWORCA_ID = tw_tworca_id)
marc_field_100 <- test %>%
select(TW_TWORCA_ID,X100) %>%
filter(!grepl("\\|",X100)) %>%
filter(X100!="") %>%
mutate(X100=str_remove_all(X100,"^\\|")) %>%
mutate(indicator = str_replace_all(X100,"(^.*?)(\\$.*)","\\1"))
subfield_list<- str_extract_all(test$X100,"\\$.")
subfield_list<- unique(unlist(subfield_list))
empty_table<- data.frame(matrix(ncol = length(subfield_list),nrow = lengths(marc_field_100)[1]))
colnames(empty_table) <-subfield_list
marc_field_100<-cbind(marc_field_100,empty_table)
subfield_list_char <- paste("(",subfield_list,")",sep = "")
subfield_list_char <- str_replace_all(subfield_list_char,"\\$","\\\\$")
x <- 1:length(subfield_list)
for (i in x) {
progress(match(i,x), max.value = length(x))
marc_field_100$X100 <- str_replace(marc_field_100$X100,subfield_list_char[i],"|\\1")
}
for (i in x) {
progress(match(i,x), max.value = length(x))
subfield_list_char2 <- str_replace_all(subfield_list,"\\$","\\\\$")
string_a <- "(^)(.*?\\|"
string_b <- subfield_list_char2[i]
string_c <- ")(.*?)(\\,{0,1})((\\|\\$)(.*)|$)"
string <- paste(string_a,string_b,string_c,sep = "")
marc_field_100[,i+3] <- ifelse(grepl(subfield_list_char2[i],marc_field_100$X100),str_replace_all(gsub(string,"\\3",marc_field_100$X100),"\\${2}.", "~"),NA)
}
test <- test %>%
inner_join(.,marc_field_100 %>% unite("BN_osoba",c(`$a`,`$c`,`$d`),sep = " ",na.rm = TRUE) %>% select(TW_TWORCA_ID,BN_osoba),by="TW_TWORCA_ID") %>%
unique() %>%
select(TW_TWORCA_ID,TW_NAZWISKO,TW_IMIE,BN_osoba) %>%
mutate(BN_osoba = str_remove(BN_osoba,"\\.\\s{0,}$"),
BN_osoba = str_remove(BN_osoba,"\\?"))
pbl_bn_import <- data.frame(stringsAsFactors=FALSE)
x <- 1:length(test$TW_TWORCA_ID)
for (i in x) {
progress(match(i,x), max.value = length(x))
tryCatch({
id <- jsonlite::fromJSON(str_replace_all(paste("https://data.bn.org.pl/api/authorities.json?limit=100&name=",test$BN_osoba[i],sep = "")," ","%20")) %>% .$authorities %>%
filter(title=="") %>% .$id
if (length(id)==0) {
id <- "brak danych (CR)"
}
}, error=function(e){
id <<- "brak danych (CR)"
})
iteration <- data.frame(test %>% select(1:4) %>% slice(i), id = id)
pbl_bn_import <- rbind(pbl_bn_import,iteration)
}
pbl_bn_import_fix <- pbl_bn_import %>%
filter(id=="brak danych (CR)")
pbl_bn_import <- pbl_bn_import %>%
filter(id %notin% pbl_bn_import_fix$id)
#aktualizacja - ręcznie uzupełnij identyfikatory dla osób BN, które nie zostały znalezione automatycznie (szukaj przy użyciu/z wykluczeniem znaków diakrytycznych, po fragmentach stringów)
#szukaj w schemacie:http://data.bn.org.pl/api/authorities.json?limit=100&name=Karl%20Ove%20(1968-%20) podmieniając wartości po "name="
# jeśli niemo zliwe jest ustalenie id w obiekcie reczne_uzupelnienie w odpowiednim miejscu wstaw frazę "brak danych (CR)"
reczne_uzupelnienie <- c(2394601,2398991,2810443,2253422,2291668,1250599,1185825,2338462,2303987,2318360,2318316,2329372,2330981,2334087,3194041,2352552,2372034,2376056,2381860,2395898,3001371,2991406,"brak danych (CR)", "brak danych (CR)",1185645,"brak danych (CR)","brak danych (CR)","brak danych (CR)",2359297,1712312,1669525,2380296,"brak danych (CR)")
pbl_bn_import_fix$id <- reczne_uzupelnienie
pbl_bn_import <- pbl_bn_import %>%
bind_rows(pbl_bn_import_fix %>% filter(id != "brak danych (CR)"))
pbl_bn_viaf_import <- data.frame(stringsAsFactors=FALSE)
x <- 1:length(pbl_bn_import$TW_TWORCA_ID)
for (i in x) {
progress(match(i,x), max.value = length(x))
name <- paste(str_replace_all(str_remove_all(paste(unlist(jsonlite::fromJSON(paste("https://data.bn.org.pl/api/authorities.json?id=",pbl_bn_import$id[i],sep = "")) %>% .$authorities %>% .$marc %>% .$fields %>% `[[`(1) %>% .$`100` %>% `[[`(3)),collapse = "|"),"\\|NA"),"(\\|)(\\(\\d+)"," \\2"),str_replace_all(str_remove_all(paste(unlist(jsonlite::fromJSON(paste("https://data.bn.org.pl/api/authorities.json?id=",pbl_bn_import$id[i],sep = "")) %>% .$authorities %>% .$marc %>% .$fields %>% `[[`(1) %>% .$`400` %>% `[[`(3)),collapse = "|"),"\\|NA"),"(\\|)(\\(\\.+)"," \\2"),sep = "|")
viaf <- str_remove_all(paste(unlist(jsonlite::fromJSON(paste("https://data.bn.org.pl/api/authorities.json?id=",pbl_bn_import$id[i],sep = "")) %>% .$authorities %>% .$marc %>% .$fields %>% `[[`(1) %>% .$`024` %>% .$subfields),collapse = "|"),"(\\|NA)|(\\|viaf)")
iteration <- data.frame(pbl_bn_import %>% select(1:3,5) %>% slice(i), name = name, viaf = viaf)
pbl_bn_viaf_import <- rbind(pbl_bn_viaf_import,iteration)
}
pbl_bn_viaf_import <- pbl_bn_viaf_import %>%
rename(pbl_id = TW_TWORCA_ID,
pbl_nazwisko = TW_NAZWISKO,
pbl_imie = TW_IMIE,
BN_id = id,
BN_name = name) %>%
mutate(czy_ten_sam = "tak") %>%
select(pbl_id,pbl_nazwisko,pbl_imie,BN_id,BN_name,czy_ten_sam,viaf) %>%
unique()
#zapisać plik i jego treść wekleić na dysk do tabeli "mapowanie_osob_bn_pbl_po_imporcie"
write.xlsx(pbl_bn_viaf_import, "C:/Users/Cezary/Desktop/relacje_osobowe_pbl_bn.xlsx",sheetName = "pbl-bn")
test <- bn_ok %>%
filter(grepl("82",X080))
Było 50 lub więcej ostrzeżeń (użyj 'warnings()' aby zobaczyć pierwsze 50)